Self-Consistency Improves Chain of Thought Reasoning in Language Models Paper • 2203.11171 • Published Mar 21, 2022 • 4
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Paper • 2201.11903 • Published Jan 28, 2022 • 11
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models Paper • 2205.10625 • Published May 21, 2022 • 1
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Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy Paper • 2502.04666 • Published 16 days ago • 1
Experiments with Large Language Models on Retrieval-Augmented Generation for Closed-Source Simulation Software Paper • 2502.03916 • Published 17 days ago • 1
Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning Paper • 2501.15228 • Published 29 days ago • 1
Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models Paper • 2502.01386 • Published 20 days ago • 1
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation Paper • 2502.01113 • Published 20 days ago • 2
Artificial Intelligence and Legal Analysis: Implications for Legal Education and the Profession Paper • 2502.03487 • Published 19 days ago • 1
Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning Paper • 2502.04381 • Published 18 days ago • 2
ParetoQ: Scaling Laws in Extremely Low-bit LLM Quantization Paper • 2502.02631 • Published 19 days ago • 2
CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning Paper • 2502.02390 • Published 19 days ago • 1
Sundial: A Family of Highly Capable Time Series Foundation Models Paper • 2502.00816 • Published 21 days ago • 3