Research Papers

Name	Tags	Publish Date	Authors	Last Edited Time	Related Posts	Original Paper	Blog URL	Author
Exploring Advanced Large Language Models with LLMsuite	Large Language Models	July 1, 2024		Sep 13, 2024 3:46 PM		https://arxiv.org/pdf/2407.12036
Distilling System 2 into System 1	LLM PerformanceFine Tuning	July 8, 2024		Oct 2, 2024 1:56 PM		https://arxiv.org/pdf/2407.06023v1
A Survey on Employing Large Language Models for Text-to-SQL Tasks	Large Language Models	August 11, 2024		Sep 13, 2024 3:46 PM		https://arxiv.org/pdf/2407.15186
ThinK: Thinner Key Cache by Query-Driven Pruning		July 30, 2024		Sep 13, 2024 3:46 PM		https://arxiv.org/pdf/2407.21018
ShieldGemma: Generative AI Content Moderation Based on Gemma	Large Language Models	August 4, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2407.21772
Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models	LLM PerformanceLarge Language Models	August 5, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2408.02442
A Survey of NL2SQL with Large Language Models: Where are we, and where are we going?	Large Language Models	August 9, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2408.05109
LongWriter: Unleashing 10,000+ Word Generation from Long Context LLMs	Large Language Models	August 13, 2024		Oct 9, 2024 10:11 AM		https://arxiv.org/pdf/2408.07055
Challenges and Responses in the Practice of Large Language Models	Large Language ModelsLLM Performance	August 21, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2408.09416
Controllable Text Generation for Large Language Models: A Survey	Large Language ModelsLLM Performance	August 22, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2408.12599
Enhancing Robustness in Large Language Models: Prompting for Mitigating the Impact of Irrelevant Information	LLM PerformanceLarge Language Models	August 20, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2408.10615
Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation	RAGLarge Language ModelsLLM Performance	August 8, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2408.04187
Transformer Explainer: Interactive Learning of Text-Generative Models	Foundation Model	August 8, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2408.04619
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge	Large Language Models	July 30, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2407.19594
Know Your Limits: A Survey of Abstention in Large Language Models	Large Language Models	August 8, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2407.18418
Weak-to-Strong Reasoning	Large Language ModelsLLM PerformanceReasoning	July 18, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2407.13647
Prover-Verifier Games improve legibility of LLM outputs	LLM PerformanceLarge Language Models	August 1, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2407.13692
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery	Large Language Models	August 15, 2024		Sep 13, 2024 3:47 PM		https://arxiv.org/pdf/2408.06292
Tree of Thoughts: Deliberate Problem Solving with Large Language Models	Prompt Engineering	May 17, 2023	Athina AI Research Agent	Sep 30, 2024 9:20 AM	Prompt Design and Engineering: Introduction and Advanced Methods Post Hoc Explanations of Language Models Can Improve Language Models Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models	https://arxiv.org/abs/2305.10601	blog.athina.ai
Mistral 7B: Foundation Model Research Paper Summary	Foundation Model	April 4, 2024	Athina AI Research Agent	Sep 30, 2024 6:46 AM	Universal and Transferable Adversarial Attacks on Aligned Language Models Text Summarization: LLM Failure Cases and Detection Methods CYBERSECEVAL 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models	https://arxiv.org/pdf/2310.06825.pdf	blog.athina.ai
What is the Role of Small Models in the LLM Era: A Survey	Large Language Models	September 12, 2024	Athina AI Research Agent	Sep 28, 2024 4:03 PM	Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Agent Workflow Memory	https://arxiv.org/abs/2409.06857
The Foundation Model Transparency Index	Foundation Model	October 19, 2023	Athina AI Research Agent	Sep 28, 2024 4:03 PM	Conversational Prompt Engineering Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Beyond Preferences in AI Alignment Agent Workflow Memory	https://arxiv.org/abs/2310.12941
Achieving Peak Performance for Large Language Models: A Systematic Review	LLM Performance	September 7, 2024	Athina AI Research Agent	Sep 26, 2024 5:48 PM	RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation	https://arxiv.org/abs/2409.04833
Beyond Preferences in AI Alignment	Safety	August 30, 2024	Athina AI Research Agent	Sep 26, 2024 5:20 PM	The Foundation Model Transparency Index Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation	https://arxiv.org/abs/2408.16984
Large Language Model-Based Agents for Software Engineering: A Survey	Agents	September 4, 2024	Athina AI Research Agent	Sep 26, 2024 5:20 PM	Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Conversational Prompt Engineering Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation	https://arxiv.org/abs/2409.02977
NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?	LLM Performance	July 16, 2024		Sep 25, 2024 9:38 PM		https://arxiv.org/pdf/2407.11963
Does Refusal Training in LLMs Generalize to the Past Tense?	LLM Performance	July 19, 2024		Sep 13, 2024 3:48 PM		https://arxiv.org/pdf/2407.11969
MindSearch: Mimicking Human Minds Elicits Deep AI Searcher	Large Language Models	July 29, 2024		Sep 13, 2024 3:48 PM		https://arxiv.org/abs/2407.20183
Machine Unlearning in Generative AI: A Survey	Large Language Models	July 30, 2024		Sep 13, 2024 3:48 PM		https://arxiv.org/pdf/2407.20516
Recursive Introspection: Teaching Language Model Agents How to Self-Improve	Large Language ModelsLLM Performance	July 26, 2024		Sep 13, 2024 3:48 PM		https://arxiv.org/pdf/2407.18219
Generation Constraint Scaling Can Mitigate Hallucination	Hallucinations	July 23, 2024		Oct 3, 2024 9:08 PM		https://arxiv.org/pdf/2407.16908
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models	LLM PerformanceLarge Language Models	July 12, 2024		Sep 13, 2024 3:48 PM		https://arxiv.org/pdf/2407.09025
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach	RAGLLM Performance	July 23, 2024		Sep 25, 2024 9:37 PM		https://arxiv.org/abs/2407.16833
Conversational Prompt Engineering	Prompt EngineeringRAG	August 8, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future Conversational Prompt Engineering 🛠️ Understand Your Users → Detect Hallucinations → Iterate Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs Mixture-of-Agents Enhances Large Language Model Capabilities	https://arxiv.org/abs/2408.04560
Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching	Fine TuningFoundation Model	June 15, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	llmEngineer.weekly: Running models locally, LLM-graded evals too expensive for production? Here's our solution...RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework	https://arxiv.org/abs/2406.06326
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future	AgentsReasoningEvaluation	August 5, 2024	Athina AI Research Agent	Sep 25, 2024 9:37 PM	LLM Critics Help Catch LLM Bugs From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future Can I walk you through Athina in 15 mins?Conversational Prompt Engineering Self-Taught Evaluators On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs	https://arxiv.org/abs/2408.02479
Adaptive Retrieval-Augmented Generation for Conversational Systems	RAGConversational AI	July 31, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	How non-technical users can prototype pipelines, run AI experiments and evaluations Evaluate llama-3 vs gpt-4o on YOUR dataset in a few clicks Re-run your production traces on different LLMs and compare the results	https://arxiv.org/abs/2407.21712
Tree Search For Language Model Agents	AgentsReasoning	July 1, 2024	Athina AI Research Agent	Sep 25, 2024 9:37 PM	Are you afraid of making changes to your LLM pipeline?June Product Updates: Enterprise Features, Dynamic Columns, Spreadsheet-ing, Prompt Management + more RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
PersonaGym: Evaluating Persona Agents and LLMs	AgentsEvaluation	July 29, 2024	Athina AI Research Agent	Oct 3, 2024 8:34 PM	Prompts, Prompts, Prompts!RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework Self-Taught Evaluators	https://arxiv.org/abs/2407.18416
PlanRAG: A Plan-then-Retrieval Augmented Generation for Generative Large Language Models as Decision Makers	RAGReasoning	June 18, 2024	Athina AI Research Agent	Oct 3, 2024 8:33 PM	Analyze and compare LLM performance across different prompts, models, and topics Compare Mode on Athina IDE Common LLM chatbot problems and how to solve them	https://arxiv.org/abs/2406.12430
LLM Pruning and Distillation in Practice: The Minitron Approach	Large Language ModelsLLM Performance	August 26, 2024		Oct 3, 2024 8:23 PM		https://arxiv.org/abs/2408.11796
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering	RAG	August 8, 2024		Oct 3, 2024 8:31 PM		https://arxiv.org/pdf/2408.04259
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference	LLM Performance	July 19, 2024		Oct 3, 2024 8:33 PM		https://arxiv.org/pdf/2407.14057
Context Embeddings for Efficient Answer Generation in RAG	RAGFine TuningLLM Performance	July 23, 2024		Oct 3, 2024 8:32 PM		https://arxiv.org/pdf/2407.09252
RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation	RAG	August 17, 2024		Oct 3, 2024 8:31 PM		https://arxiv.org/pdf/2408.08067
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction	RAG	August 9, 2024		Oct 3, 2024 8:30 PM		https://arxiv.org/pdf/2408.04948
Graph Retrieval-Augmented Generation: A Survey	RAG	August 15, 2024		Oct 3, 2024 8:29 PM		https://arxiv.org/pdf/2408.08921
Automated Design of Agentic System	Agents	August 15, 2024		Oct 3, 2024 8:28 PM		https://arxiv.org/abs/2408.08435
Mixture-of-Agents Enhances Large Language Model Capabilities	Agents	June 7, 2024	Athina AI Research Agent	Sep 25, 2024 9:30 PM	Conversational Prompt Engineering RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation Athina IDE: A Collaborative Editor for AI teams to Prototype, Evaluate, and Experiment	https://arxiv.org/abs/2406.04692
Discovering Preference Optimization Algorithms with and for Large Language Models	LLM PerformanceReasoning	June 12, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	How the best teams evaluate their chatbots Custom Evaluations for your AI for free Improving Retrieval Augmented Language Model with Self-Reasoning	https://arxiv.org/abs/2406.08414
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs	ReasoningLLM Performance	June 14, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Conversational Prompt Engineering From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future June Product Updates: Enterprise Features, Dynamic Columns, Spreadsheet-ing, Prompt Management + more	https://arxiv.org/abs/2406.10209
Following Length Constraints in Instructions	ReasoningLLM Performance	June 25, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	June Product Updates: Enterprise Features, Dynamic Columns, Spreadsheet-ing, Prompt Management + more Athina IDE: A Collaborative Editor for AI teams to Prototype, Evaluate, and Experiment RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework	https://arxiv.org/abs/2406.17744
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey	EvaluationDataset Generation	June 14, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Athina IDE: A Collaborative Editor for AI teams to Prototype, Evaluate, and Experiment From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future June Product Updates: Enterprise Features, Dynamic Columns, Spreadsheet-ing, Prompt Management + more	https://arxiv.org/abs/2406.15126
Improving Retrieval Augmented Language Model with Self-Reasoning	RAGReasoning	August 2, 2024	Athina AI Research Agent	Sep 25, 2024 9:30 PM	Evaluating LLM Chatbot Conversations is hard - here's how we're solving it Evaluating JSON responses: LLMs still can't be trusted to produce consistent JSON outputs Generate high-quality synthetic datasets for RAG Q&A in 30 seconds Discovering Preference Optimization Algorithms with and for Large Language Models	https://arxiv.org/abs/2407.19813
Concise Thoughts: Impact of Output Length on LLM Reasoning and Cost	ReasoningLLM Performance	July 29, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Have you tried Cohere's new model Command R+? Compare against Claude 3 and Gemini Pro on Athina Athina IDE: A Collaborative Editor for AI teams to Prototype, Evaluate, and Experiment June Product Updates: Enterprise Features, Dynamic Columns, Spreadsheet-ing, Prompt Management + more	https://arxiv.org/abs/2407.19825
SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals	AgentsReasoning	June 7, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Self-Taught Evaluators RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework Athina IDE: A Collaborative Editor for AI teams to Prototype, Evaluate, and Experiment	https://arxiv.org/abs/2406.04784
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data	Fine TuningDataset GenerationRAG	June 27, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data Support for Custom Models hosted on Azure and AWS Bedrock!From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future	https://arxiv.org/abs/2406.19292
RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework	Dataset GenerationRAG	August 18, 2024	Athina AI Research Agent	Sep 25, 2024 9:30 PM	We just launched on Product Hunt!Annotate LLM traces on Athina + new models support, automatic token & cost tracking How to backtest prompt / model changes?PersonaGym: Evaluating Persona Agents and LLMs Following Length Constraints in Instructions Tree Search For Language Model Agents Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals	https://arxiv.org/abs/2408.01262
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation	LLM PerformanceRAG	August 5, 2024	Athina AI Research Agent	Sep 25, 2024 9:30 PM	Product Hunt Launch: Help us get to #1 Product of the Day!Access your LLM Traces via our GraphQL API RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation Mixture-of-Agents Enhances Large Language Model Capabilities	https://arxiv.org/abs/2408.02545
Self-Taught Evaluators	EvaluationLLM Performance	August 8, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Configuring an eval in 15 seconds (yes, really)June Product Updates: Enterprise Features, Dynamic Columns, Spreadsheet-ing, Prompt Management + more From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future PersonaGym: Evaluating Persona Agents and LLMs SelfGoal: Your Language Agents Already Know How to Achieve High-level Goals	https://arxiv.org/abs/2408.02666
Retrieval with Feedback Loops	RAG			Sep 13, 2024 3:48 PM				Athina AI
Explainable Retrieval	RAG			Sep 13, 2024 3:48 PM				Athina AI
Contextual Compression	RAG			Sep 13, 2024 3:48 PM				Athina AI
Semantic Chunking	RAG			Sep 13, 2024 3:48 PM				Athina AI
Hypothetical Questions (HyDE Approach)	RAG			Sep 13, 2024 3:48 PM				Athina AI
Advanced RAG Technique: Hierarchical Indices	RAG			Sep 13, 2024 3:48 PM				Athina AI
Re-ranking methods	RAG	August 21, 2024		Sep 13, 2024 3:48 PM				Athina AI
Query Transformations: Rewriting, Step-back Prompting, and Sub-query Decomposition	RAG	August 21, 2024		Sep 13, 2024 3:48 PM				Athina AI
RAG-Fusion (Fusion Retrieval RAG)	RAG	August 21, 2024		Sep 13, 2024 3:48 PM				Athina AI
Maatphor: Automated Variant Analysis for Prompt Injection Attacks	Dataset Generation	December 12, 2023	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Prompt-Tuning Decision Transformer with Preference Ranking Progressive Visual Prompt Learning with Contrastive Feature Re-formation Soft-prompt Tuning for Large Language Models to Evaluate Bias Robust Safety Classifier for Large Language Models: Adversarial Prompt Shield	https://arxiv.org/abs/2312.11513
Universality and Limitations of Prompt Tuning	Foundation Model	May 30, 2023	Athina AI Research Agent	Sep 13, 2024 3:48 PM	One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era Graph of Thoughts: Solving Elaborate Problems with Large Language Models Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation	https://arxiv.org/abs/2305.18787	blog.athina.ai
Language Is Not All You Need: Aligning Perception with Language Models	RAG	February 27, 2023	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners Active Prompting with Chain-of-Thought for Large Language Models Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Guiding Large Language Models via Directional Stimulus Prompting	https://arxiv.org/abs/2302.14045	blog.athina.ai
MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering	Prompt Engineering	June 6, 2024	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Large Language Models and Prompt Engineering for Biomedical Query Focused Multi-Document Summarisation Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation Wordflow: Social Prompt Engineering for Large Language Models A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective A Novel Approach for Rapid Development Based on ChatGPT and Prompt Engineering Chit-Chat or Deep Talk: Prompt Engineering for Process Mining SAMAug: Point Prompt Augmentation for Segment Anything Model SAM on Medical Images: A Comprehensive Study on Three Prompt Modes Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training Prompt Cache: Modular Attention Reuse for Low-Latency Inference	https://arxiv.org/abs/2405.02664	blog.athina.ai
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration	Foundation Model	June 23, 2023	Athina AI Research Agent	Sep 13, 2024 3:49 PM	TopicGPT: A Prompt-based Topic Modeling Framework Language Prompt for Autonomous Driving Prompt-tuning latent diffusion models for inverse problems DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers	https://arxiv.org/abs/2306.13653
Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT	Safety	June 19, 2023	Athina AI Research Agent	Sep 13, 2024 3:48 PM	ReAct: Synergizing Reasoning and Acting in Language Models Prompting GPT-3 To Be Reliable DocPrompting: Generating Code by Retrieving the Docs Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering	https://arxiv.org/abs/2307.05493	blog.athina.ai
Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks	Safety	October 16, 2023	Athina AI Research Agent	Sep 13, 2024 3:48 PM	Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification An automatically discovered chain-of-thought prompt generalizes to novel models and datasets Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs Divide and Prompt: Chain of Thought Prompting for Text-to-SQL Layout and Task Aware Instruction Prompt for Zero-shot Document Image Question Answering BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP	https://arxiv.org/abs/2310.10077
How to Use a Custom Grading Criteria to Evaluate LLM Responses (LLM-as-a-Judge)	HallucinationsEvaluation	April 17, 2024		Sep 13, 2024 3:49 PM	CYBERSECEVAL 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models
Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling	Reasoning	May 23, 2024	Athina AI Research Agent	Oct 9, 2024 9:39 AM	ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation Language Prompt for Autonomous Driving LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression	https://arxiv.org/abs/2305.09993
Chain-of-Symbol Prompting Elicits Planning in Large Langauge Models	Evaluation	May 17, 2023	Athina AI Research Agent	Aug 19, 2024 11:43 PM	Efficient Prompting via Dynamic In-Context Learning The Web Can Be Your Oyster for Improving Large Language Models TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding	https://arxiv.org/abs/2305.10276	blog.athina.ai
Soft-prompt Tuning for Large Language Models to Evaluate Bias	Evaluation	March 5, 2024	Athina AI Research Agent	Aug 19, 2024 11:40 PM	LLM Critics Help Catch LLM Bugs BIM-GPT: a Prompt-Based Virtual Assistant Framework for BIM Information Retrieval Progressive Visual Prompt Learning with Contrastive Feature Re-formation Maatphor: Automated Variant Analysis for Prompt Injection Attacks SPELL: Semantic Prompt Evolution based on a LLM	https://arxiv.org/abs/2306.04735
RoT: Enhancing Large Language Models with Reflection on Search Trees	Reasoning	April 11, 2024	Athina AI Research Agent	Aug 19, 2024 11:38 PM	PathFinder: Guided Search over Multi-Step Reasoning Paths Founder-GPT: Self-play to evaluate the Founder-Idea fit RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval	https://arxiv.org/abs/2404.05449	blog.athina.ai
Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution	Reasoning	September 28, 2023	Athina AI Research Agent	Aug 19, 2024 11:48 PM	Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design	https://arxiv.org/abs/2309.16797	blog.athina.ai
Analyzing Toxicity in Deep Conversations: A Reddit Case Study	Dataset Generation	April 11, 2024	Athina AI Research Agent	Aug 19, 2024 11:47 PM	Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning PathFinder: Guided Search over Multi-Step Reasoning Paths RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval	https://arxiv.org/abs/2404.07879	blog.athina.ai
Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought	Reasoning	January 26, 2023	Athina AI Research Agent	Aug 19, 2024 11:46 PM	PAL: Program-aided Language Models DocPrompting: Generating Code by Retrieving the Docs Large Language Models Are Human-Level Prompt Engineers	https://arxiv.org/abs/2210.01240v3	blog.athina.ai
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation	Prompt Engineering	July 28, 2023	Athina AI Research Agent	Aug 19, 2024 11:52 PM	Re-Reading Improves Reasoning in Large Language Models Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models Post Hoc Explanations of Language Models Can Improve Language Models	https://arxiv.org/abs/2307.15337	blog.athina.ai
Pre-Training to Learn in Context	RAG	May 16, 2023	Athina AI Research Agent	Sep 13, 2024 3:49 PM	ZeroPrompt: Streaming Acoustic Encoders are Zero-Shot Masked LMs TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks SatLM: Satisfiability-Aided Language Models Using Declarative Prompting From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?Language Prompt for Autonomous Driving ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression	https://arxiv.org/abs/2305.09137	blog.athina.ai
Chain of Hindsight Aligns Language Models with Feedback	Evaluation	February 6, 2023	Athina AI Research Agent	Aug 19, 2024 11:54 PM	Chain of Hindsight Aligns Language Models with Feedback Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT How Robust is GPT-3.5 to Predecessors? A Comprehensive Study on Language Understanding Tasks How Does In-Context Learning Help Prompt Tuning?Scalable Prompt Generation for Semi-supervised Learning with Language Models	https://arxiv.org/abs/2302.02676	blog.athina.ai
Guiding Large Language Models via Directional Stimulus Prompting	Prompt Engineering	October 9, 2023	Athina AI Research Agent	Aug 19, 2024 11:49 PM	A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Language Is Not All You Need: Aligning Perception with Language Models Active Prompting with Chain-of-Thought for Large Language Models How Does In-Context Learning Help Prompt Tuning?	https://arxiv.org/abs/2302.11520	blog.athina.ai
Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study	Evaluation	March 10, 2024	Athina AI Research Agent	Aug 19, 2024 11:51 PM	Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting Prompt Injection attack against LLM-integrated Applications ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection An LLM can Fool Itself: A Prompt-Based Adversarial Attack Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators	https://arxiv.org/abs/2305.13860	blog.athina.ai
Self-Consistency Improves Chain of Thought Reasoning in Language Models	Reasoning	March 7, 2023	Athina AI Research Agent	Aug 19, 2024 11:55 PM	Inferring Properties of Graph Neural Networks RAGAR, Your Falsehood RADAR: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization PAL: Program-aided Language Models	https://arxiv.org/abs/2203.11171	blog.athina.ai
Demystifying Chains, Trees, and Graphs of Thoughts	Reasoning	April 5, 2024	Athina AI Research Agent	Aug 19, 2024 11:57 PM	The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Large Language Models are reasoners with Self-Verification Constitutional AI: Harmlessness from AI Feedback Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models	https://arxiv.org/abs/2401.14295	blog.athina.ai
Post Hoc Explanations of Language Models Can Improve Language Models	Prompt Engineering	May 19, 2023	Athina AI Research Agent	Aug 19, 2024 11:58 PM	Re-Reading Improves Reasoning in Large Language Models Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation Prompt Design and Engineering: Introduction and Advanced Methods Tree of Thoughts: Deliberate Problem Solving with Large Language Models Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models	https://arxiv.org/abs/2305.11426	blog.athina.ai
Graph of Thoughts: Solving Elaborate Problems with Large Language Models	Prompt Engineering	August 18, 2023	Athina AI Research Agent	Aug 20, 2024 12:03 AM	Reasoning with Language Model Prompting: A Survey Towards Reasoning in Large Language Models: A Survey Graph of Thoughts: Solving Elaborate Problems with Large Language Models Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses Universality and Limitations of Prompt Tuning MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting Reasoning with Language Model is Planning with World Model Better Zero-Shot Reasoning with Self-Adaptive Prompting Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding	https://arxiv.org/abs/2308.09687v2	blog.athina.ai
A Novel Approach for Rapid Development Based on ChatGPT and Prompt Engineering	Evaluation	December 21, 2023	Athina AI Research Agent	Aug 19, 2024 11:59 PM	MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification	https://arxiv.org/abs/2312.13115	blog.athina.ai
Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations	Prompt Engineering	June 2, 2023	Athina AI Research Agent	Aug 20, 2024 12:00 AM	DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks Prompt Tuning Large Language Models on Personalized Aspect Extraction for Recommendations Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection	https://arxiv.org/abs/2306.01475
An LLM can Fool Itself: A Prompt-Based Adversarial Attack	Evaluation	October 20, 2023	Athina AI Research Agent	Aug 20, 2024 12:02 AM	AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models	https://arxiv.org/abs/2310.13345	blog.athina.ai
PBNR: Prompt-based News Recommender System	Prompt Engineering	April 16, 2023	Athina AI Research Agent	Aug 20, 2024 12:01 AM	Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models Segment Any Anomaly without Training via Hybrid Prompt Regularization LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification	https://arxiv.org/abs/2304.07862
TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks	Evaluation	May 19, 2023	Athina AI Research Agent	Aug 20, 2024 12:07 AM	Explaining Emergent In-Context Learning as Kernel Regression Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt Efficient Prompting via Dynamic In-Context Learning The Web Can Be Your Oyster for Improving Large Language Models Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling SatLM: Satisfiability-Aided Language Models Using Declarative Prompting Pre-Training to Learn in Context	https://arxiv.org/abs/2305.11430	blog.athina.ai
How Does In-Context Learning Help Prompt Tuning?	Fine Tuning	February 22, 2023	Athina AI Research Agent	Aug 20, 2024 12:05 AM	Guiding Large Language Models via Directional Stimulus Prompting A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT Chain of Hindsight Aligns Language Models with Feedback Scalable Prompt Generation for Semi-supervised Learning with Language Models GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks The Capacity for Moral Self-Correction in Large Language Models	https://arxiv.org/abs/2302.11521	blog.athina.ai
Retrieval-Augmented Thought Process as Sequential Decision Making	RAG	February 12, 2024	Athina AI Research Agent	Aug 20, 2024 12:04 AM	Retrieval-Augmented Thought Process as Sequential Decision Making Multimodal Chain-of-Thought Reasoning in Language Models Compositional Exemplars for In-context Learning Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought Tree of Attacks: Jailbreaking Black-Box LLMs Automatically	https://arxiv.org/abs/2402.07812	blog.athina.ai
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources	Prompt Engineering	May 22, 2023	Athina AI Research Agent	Aug 20, 2024 12:09 AM	Factuality of Large Language Models in the Year 2024 Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning Fine-tuning Language Models for Factuality	https://arxiv.org/abs/2305.13269	blog.athina.ai
Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models	Prompt Engineering	December 19, 2023	Athina AI Research Agent	Aug 23, 2024 2:30 AM	Progressive Visual Prompt Learning with Contrastive Feature Re-formation Testing LLMs on Code Generation with Varying Levels of Prompt Specificity Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models viz2viz: Prompt-driven stylized visualization generation using a diffusion model	https://arxiv.org/abs/2312.12416
Plum: Prompt Learning using Metaheuristic	Prompt Engineering	March 14, 2024	Athina AI Research Agent	Aug 20, 2024 12:17 AM	FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt Text-driven Prompt Generation for Vision-Language Models in Federated Learning Consistency-guided Prompt Learning for Vision-Language Models	https://arxiv.org/abs/2311.08364
Autonomous Tree-search Ability of Large Language Models	Reasoning	October 14, 2023	Athina AI Research Agent	Aug 20, 2024 12:16 AM	PathFinder: Guided Search over Multi-Step Reasoning Paths SPROUT: Authoring Programming Tutorials with Interactive Visualization of Large Language Model Generation Process Founder-GPT: Self-play to evaluate the Founder-Idea fit	https://arxiv.org/abs/2310.10686	blog.athina.ai
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting	Reasoning	June 19, 2023	Athina AI Research Agent	Aug 20, 2024 12:13 AM	GuReT: Distinguishing Guilt and Regret related Text RAGAR, Your Falsehood RADAR: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models Evidence to Generate (E2G): A Single-agent Two-step Prompting for Context Grounded and Retrieval Augmented Reasoning	https://arxiv.org/abs/2306.11025	blog.athina.ai
Focused Prefix Tuning for Controllable Text Generation	Fine Tuning	June 1, 2023	Athina AI Research Agent	Aug 20, 2024 12:37 AM	Towards Reasoning in Large Language Models: A Survey A Bibliometric Review of Large Language Models Research from 2017 to 2023 Reasoning with Language Model Prompting: A Survey	https://arxiv.org/abs/2306.00369	blog.athina.ai
PromptTTS 2: Describing and Generating Voices with Text Prompt	Prompt Engineering	October 12, 2023	Athina AI Research Agent	Aug 20, 2024 12:41 AM	Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Visual Prompt Based Personalized Federated Learning An automatically discovered chain-of-thought prompt generalizes to novel models and datasets Progressive Visual Prompt Learning with Contrastive Feature Re-formation	https://arxiv.org/abs/2309.02285
CYBERSECEVAL 2: A Wide-Ranging Cybersecurity Evaluation Suite for Large Language Models	SafetyEvaluation	April 18, 2024	Athina AI Research Agent	Aug 23, 2024 12:56 AM	How to Use a Custom Grading Criteria to Evaluate LLM Responses (LLM-as-a-Judge)Mistral 7B: Foundation Model Research Paper Summary Chain-of-Verification Reduces Hallucination in Large Language Models	https://ai.meta.com/research/publications/cyberseceval-2-a-wide-ranging-cybersecurity-evaluation-suite-for-large-language-models/	blog.athina.ai
AI Chain on Large Language Model for Unsupervised Control Flow Graph Generation for Statically-Typed Partial Code	Foundation Model	June 1, 2023	Athina AI Research Agent	Aug 20, 2024 12:38 AM	GuReT: Distinguishing Guilt and Regret related Text Founder-GPT: Self-play to evaluate the Founder-Idea fit Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models	https://arxiv.org/abs/2306.00757	blog.athina.ai
Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts	Prompt Engineering	May 4, 2023	Athina AI Research Agent	Aug 20, 2024 12:39 AM	Text-driven Prompt Generation for Vision-Language Models in Federated Learning Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning Consistency-guided Prompt Learning for Vision-Language Models	https://arxiv.org/abs/2305.02578
Robust Safety Classifier for Large Language Models: Adversarial Prompt Shield	Safety	October 31, 2023	Athina AI Research Agent	Aug 20, 2024 12:40 AM	Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models SPELL: Semantic Prompt Evolution based on a LLM Maatphor: Automated Variant Analysis for Prompt Injection Attacks Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning	https://arxiv.org/abs/2311.00172
EntGPT: Linking Generative Large Language Models with Knowledge Bases	Prompt Engineering	February 9, 2024	Athina AI Research Agent	Aug 20, 2024 12:47 AM	From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings Universal and Transferable Adversarial Attacks on Aligned Language Models Factuality of Large Language Models in the Year 2024 KnowGPT: Knowledge Injection for Large Language Models Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions	https://arxiv.org/abs/2402.06738	blog.athina.ai
Testing LLMs on Code Generation with Varying Levels of Prompt Specificity	Evaluation	November 10, 2023	Athina AI Research Agent	Aug 20, 2024 12:43 AM	LLM Critics Help Catch LLM Bugs Prompt-Tuning Decision Transformer with Preference Ranking Progressive Visual Prompt Learning with Contrastive Feature Re-formation ULTRA-DP: Unifying Graph Pre-training with Multi-task Graph Dual Prompt Prompting Hard or Hardly Prompting: Prompt Inversion for Text-to-Image Diffusion Models	https://arxiv.org/abs/2311.07599
Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond	Reasoning	October 9, 2023	Athina AI Research Agent	Aug 20, 2024 12:48 AM	Exploring LLM-based Agents for Root Cause Analysis Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following Model-tuning Via Prompts Makes NLP Models Adversarially Robust Tool Learning with Foundation Models One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era A Bibliometric Review of Large Language Models Research from 2017 to 2023 Natural Language Reasoning, A Survey Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting Exploring Lottery Prompts for Pre-trained Language Models Let's Verify Step by Step PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents Reasoning with Language Model is Planning with World Model Better Zero-Shot Reasoning with Self-Adaptive Prompting Interactive Natural Language Processing Explaining Emergent In-Context Learning as Kernel Regression ZeroPrompt: Streaming Acoustic Encoders are Zero-Shot Masked LMs	https://arxiv.org/abs/2310.06147	blog.athina.ai
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing	Fine Tuning	August 20, 2023	Athina AI Research Agent	Aug 20, 2024 12:51 AM	Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression	https://arxiv.org/abs/2303.15649
Adversarial Prompt Tuning for Vision-Language Models	Safety	December 25, 2023	Athina AI Research Agent	Aug 20, 2024 12:50 AM	Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration Promise: Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models AutoHint: Automatic Prompt Optimization with Hint Generation Prompt Algebra for Task Composition	https://arxiv.org/abs/2311.11261
Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models	Reasoning	September 28, 2023	Athina AI Research Agent	Aug 20, 2024 12:49 AM	Unleashing the potential of prompt engineering in Large Language Models: a comprehensive review Demystifying Chains, Trees, and Graphs of Thoughts The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought Tree-of-Mixed-Thought: Combining Fast and Slow Thinking for Multi-hop Visual Reasoning	https://arxiv.org/abs/2308.10379	blog.athina.ai
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers	Prompt Engineering	February 27, 2024	Athina AI Research Agent	Aug 20, 2024 12:53 AM	LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution	https://arxiv.org/abs/2309.08532
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection	Hallucinations	March 16, 2024	Athina AI Research Agent	Aug 20, 2024 12:52 AM	ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study An LLM can Fool Itself: A Prompt-Based Adversarial Attack Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators	https://arxiv.org/abs/2310.18961	blog.athina.ai
Consistency-guided Prompt Learning for Vision-Language Models	Fine Tuning	February 27, 2024	Athina AI Research Agent	Aug 20, 2024 12:54 AM	LLM Critics Help Catch LLM Bugs FoodGPT: A Large Language Model in Food Testing Domain with Incremental Pre-training and Knowledge Graph Prompt Image-Object-Specific Prompt Learning for Few-Shot Class-Incremental Learning Reverse Stable Diffusion: What prompt was used to generate this image?Does Prompt-Tuning Language Model Ensure Privacy?Prompt-ICM: A Unified Framework towards Image Coding for Machines with Task-driven Prompts Large Language Model Prompt Chaining for Long Legal Document Classification Plum: Prompt Learning using Metaheuristic	https://arxiv.org/abs/2306.01195
A Bibliometric Review of Large Language Models Research from 2017 to 2023	Evaluation	April 3, 2023	Athina AI Research Agent	Sep 12, 2024 11:55 PM	Reinforcement Learning in the Era of LLMs: What is Essential? What is needed? An RL Perspective on RLHF, Prompting, and Beyond One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era Focused Prefix Tuning for Controllable Text Generation Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses PEARL: Prompting Large Language Models to Plan and Execute Actions Over Long Documents Hierarchical Prompting Assists Large Language Model on Web Navigation Can We Edit Factual Knowledge by In-Context Learning?Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models	https://arxiv.org/abs/2304.02020	blog.athina.ai
Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective	Prompt Engineering	February 10, 2024	Athina AI Research Agent	Aug 20, 2024 12:53 AM	LAMPER: LanguAge Model and Prompt EngineeRing for zero-shot time series classification ChatGPT4PCG 2 Competition: Prompt Engineering for Science Birds Level Generation MedPromptExtract (Medical Data Extraction Tool): Anonymization and Hi-fidelity Automated data extraction using NLP and prompt engineering How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings A study on Prompt Design, Advantages and Limitations of ChatGPT for Deep Learning Program Repair Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT	https://arxiv.org/abs/2306.01798	blog.athina.ai
Re-Reading Improves Reasoning in Large Language Models	Prompt Engineering	September 12, 2023	Athina AI Research Agent	Aug 20, 2024 7:39 PM	LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4 Prompt Design and Engineering: Introduction and Advanced Methods Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation Post Hoc Explanations of Language Models Can Improve Language Models	https://arxiv.org/abs/2309.06275	blog.athina.ai
Prompt Middleware: Mapping Prompts for Large Language Models to UI Affordances	Prompt Engineering	July 3, 2023	Athina AI Research Agent	Aug 20, 2024 7:36 PM	LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks Practical Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration Divide and Prompt: Chain of Thought Prompting for Text-to-SQL	https://arxiv.org/abs/2307.01142
An automatically discovered chain-of-thought prompt generalizes to novel models and datasets	Reasoning	August 3, 2023	Athina AI Research Agent	Aug 20, 2024 7:37 PM	An automatically discovered chain-of-thought prompt generalizes to novel models and datasets LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks PromptTTS 2: Describing and Generating Voices with Text Prompt Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness Progressive Visual Prompt Learning with Contrastive Feature Re-formation	https://arxiv.org/abs/2305.02897
Active Retrieval Augmented Generation	RAG	May 11, 2023	Athina AI Research Agent	Aug 20, 2024 7:41 PM	Fine-tuning Language Models for Factuality Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks AutoHall: Automated Hallucination Dataset Generation for Large Language Models Prompt Design and Engineering: Introduction and Advanced Methods Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4 A Comprehensive Survey on Instruction Following	https://arxiv.org/abs/2305.06983	blog.athina.ai
Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought	Reasoning	August 16, 2023	Athina AI Research Agent	Aug 20, 2024 7:40 PM	Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation Retrieval-Augmented Thought Process as Sequential Decision Making Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models Founder-GPT: Self-play to evaluate the Founder-Idea fit	https://arxiv.org/abs/2308.08614	blog.athina.ai
MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting	Reasoning	May 26, 2023	Athina AI Research Agent	Aug 20, 2024 7:41 PM	One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era Graph of Thoughts: Solving Elaborate Problems with Large Language Models Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation	https://arxiv.org/abs/2305.16896	blog.athina.ai
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training	Evaluation	November 8, 2023	Athina AI Research Agent	Aug 20, 2024 7:43 PM	Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design	https://arxiv.org/abs/2311.04155	blog.athina.ai
Universal and Transferable Adversarial Attacks on Aligned Language Models	Safety	April 14, 2024	Athina AI Research Agent	Aug 20, 2024 7:44 PM	AI Safety: Necessary, but insufficient and possibly problematic From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings Mistral 7B: Foundation Model Research Paper Summary WizardLM: Empowering Large Language Models to Follow Complex Instructions EntGPT: Linking Generative Large Language Models with Knowledge Bases	https://arxiv.org/abs/2307.15043	blog.athina.ai
ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation	Evaluation	December 2, 2023	Athina AI Research Agent	Aug 20, 2024 7:42 PM	Chain-of-Verification Reduces Hallucination in Large Language Models Efficient Prompting via Dynamic In-Context Learning Pre-Training to Learn in Context Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyond LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models Prompt a Robot to Walk with Large Language Models Jatmo: Prompt Injection Defense by Task-Specific Finetuning Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content Assessing Prompt Injection Risks in 200+ Custom GPTs Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs through a Global Scale Prompt Hacking Competition Prompt Stealing Attacks Against Text-to-Image Generation Models TopicGPT: A Prompt-based Topic Modeling Framework Prompt-tuning latent diffusion models for inverse problems	https://arxiv.org/abs/2312.02201	blog.athina.ai
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning	Safety	June 4, 2023	Athina AI Research Agent	Aug 20, 2024 7:46 PM	Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery Large Language Models Can Be Easily Distracted by Irrelevant Context GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Constitutional AI: Harmlessness from AI Feedback	https://arxiv.org/abs/2212.08061	blog.athina.ai
Prompting AI Art: An Investigation into the Creative Skill of Prompt Engineering	Prompt Engineering	December 3, 2023	Athina AI Research Agent	Aug 20, 2024 7:45 PM	Prompting GPT-3 To Be Reliable DocPrompting: Generating Code by Retrieving the Docs Large Language Models Are Human-Level Prompt Engineers	https://arxiv.org/abs/2303.13534	blog.athina.ai
Larger language models do in-context learning differently	Evaluation	March 7, 2023	Athina AI Research Agent	Aug 20, 2024 7:47 PM	Boosted Prompt Ensembles for Large Language Models Fairness-guided Few-shot Prompting for Large Language Models NN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor Inference OpenICL: An Open-Source Framework for In-context Learning Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training	https://arxiv.org/abs/2303.03846	blog.athina.ai
The Capacity for Moral Self-Correction in Large Language Models	Reasoning	February 18, 2023	Athina AI Research Agent	Aug 20, 2024 7:49 PM	Bounding the Capabilities of Large Language Models in Open Text Generation with Prompt Constraints Scalable Prompt Generation for Semi-supervised Learning with Language Models How Does In-Context Learning Help Prompt Tuning?SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains Evaluating the Robustness of Discrete Prompts Compositional Exemplars for In-context Learning	https://arxiv.org/abs/2302.07459	blog.athina.ai
Chain-of-Thought Reasoning is a Policy Improvement Operator	Reasoning	November 8, 2023	Athina AI Research Agent	Aug 20, 2024 7:48 PM	Tree of Reviews: A Tree-based Dynamic Iterative Retrieval Framework for Multi-hop Question Answering GuReT: Distinguishing Guilt and Regret related Text RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval	https://arxiv.org/abs/2309.08589	blog.athina.ai
Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions	Prompt Engineering	November 23, 2023	Athina AI Research Agent	Aug 20, 2024 7:51 PM	Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks EntGPT: Linking Generative Large Language Models with Knowledge Bases AutoHall: Automated Hallucination Dataset Generation for Large Language Models A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models Prompt Design and Engineering: Introduction and Advanced Methods	https://arxiv.org/abs/2311.13982	blog.athina.ai
Prompt Tuning of Deep Neural Networks for Speaker-adaptive Visual Speech Recognition	Fine Tuning	February 16, 2023	Athina AI Research Agent	Sep 13, 2024 11:12 PM	HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models EdgeSAM: Prompt-In-the-Loop Distillation for On-Device Deployment of SAM PromptCARE: Prompt Copyright Protection by Watermark Injection and Verification PromptTTS 2: Describing and Generating Voices with Text Prompt Visual Prompt Based Personalized Federated Learning DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer	https://arxiv.org/abs/2302.08102
From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings	Safety	April 16, 2024	Athina AI Research Agent	Aug 23, 2024 1:33 AM	Universal and Transferable Adversarial Attacks on Aligned Language Models WizardLM: Empowering Large Language Models to Follow Complex Instructions EntGPT: Linking Generative Large Language Models with Knowledge Bases	https://arxiv.org/abs/2402.16006	blog.athina.ai