{"total":60,"rows":[{"id":"2312.10997","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","created":"2023-12-18","cited_by_count":2212,"area":"lr"},{"id":"2409.12183","title":"To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning","created":"2024-09-18","cited_by_count":263,"area":"lr"},{"id":"2312.04511","title":"An LLM Compiler for Parallel Function Calling","created":"2023-12-07","cited_by_count":179,"area":"lr"},{"id":"2408.06195","title":"Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers","created":"2024-08-12","cited_by_count":138,"area":"lr"},{"id":"2402.03620","title":"Self-Discover: Large Language Models Self-Compose Reasoning Structures","created":"2024-02-06","cited_by_count":110,"area":"lr"},{"id":"2406.04271","title":"Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models","created":"2024-06-06","cited_by_count":91,"area":"lr"},{"id":"2408.16737","title":"Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling","created":"2024-08-29","cited_by_count":61,"area":"lr"},{"id":"2502.12018","title":"Atom of Thoughts for Markov LLM Test-Time Scaling","created":"2025-02-17","cited_by_count":54,"area":"lr"},{"id":"2502.06855","title":"Self-Supervised Prompt Optimization","created":"2025-02-07","cited_by_count":37,"area":"lr"},{"id":"2502.15815","title":"Theoretical Physics Benchmark (TPBench) -- a Dataset and Study of AI Reasoning Capabilities in Theoretical Physics","created":"2025-02-19","cited_by_count":34,"area":"lr"},{"id":"2406.11698","title":"Meta Reasoning for Large Language Models","created":"2024-06-17","cited_by_count":29,"area":"lr"},{"id":"2409.20441","title":"Instance-adaptive Zero-shot Chain-of-Thought Prompting","created":"2024-09-30","cited_by_count":26,"area":"lr"},{"id":"2412.02830","title":"RARE: Retrieval-Augmented Reasoning Enhancement for Large Language Models","created":"2024-12-03","cited_by_count":25,"area":"lr"},{"id":"2601.11100","title":"ReCreate: Reasoning and Creating Domain Agents Driven by Experience","created":"2026-01-16","cited_by_count":24,"area":"lr"},{"id":"2505.22919","title":"ER-Reason: A Benchmark Dataset for LLM Clinical Reasoning in the Emergency Room","created":"2025-05-28","cited_by_count":22,"area":"lr"},{"id":"2410.05563","title":"Rational Metareasoning for Large Language Models","created":"2024-10-07","cited_by_count":20,"area":"lr"},{"id":"2409.03271","title":"Strategic Chain-of-Thought: Guiding Accurate Reasoning in LLMs through Strategy Elicitation","created":"2024-09-05","cited_by_count":19,"area":"lr"},{"id":"2312.00763","title":"Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses","created":"2023-12-01","cited_by_count":18,"area":"lr"},{"id":"2410.02108","title":"ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement","created":"2024-10-03","cited_by_count":18,"area":"lr"},{"id":"2502.12616","title":"Improving Chain-of-Thought Reasoning via Quasi-Symbolic Abstractions","created":"2025-02-18","cited_by_count":17,"area":"lr"},{"id":"2408.06904","title":"Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives","created":"2024-08-13","cited_by_count":13,"area":"lr"},{"id":"2506.05901","title":"Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router","created":"2025-06-06","cited_by_count":13,"area":"lr"},{"id":"2409.19381","title":"HYBRIDMIND: Meta Selection of Natural Language and Symbolic Language for Enhanced LLM Reasoning","created":"2024-09-28","cited_by_count":11,"area":"lr"},{"id":"2406.12084","title":"When Reasoning Meets Information Aggregation: A Case Study with Sports Narratives","created":"2024-06-17","cited_by_count":7,"area":"lr"},{"id":"2504.08690","title":"Fast-Slow-Thinking: Complex Task Solving with Large Language Models","created":"2025-04-11","cited_by_count":7,"area":"lr"},{"id":"2410.01044","title":"RATIONALYST: Mining Implicit Rationales for Process Supervision of Reasoning","created":"2024-10-01","cited_by_count":6,"area":"lr"},{"id":"2502.13723","title":"Direct Value Optimization: Improving Chain-of-Thought Reasoning in LLMs with Refined Values","created":"2025-02-19","cited_by_count":6,"area":"lr"},{"id":"2510.13272","title":"Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation","created":"2025-10-15","cited_by_count":6,"area":"lr"},{"id":"2401.05190","title":"DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMs","created":"2024-01-10","cited_by_count":5,"area":"lr"},{"id":"2404.13985","title":"Information Re-Organization Improves Reasoning in Large Language Models","created":"2024-04-22","cited_by_count":5,"area":"lr"},{"id":"2410.01696","title":"CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs","created":"2024-10-02","cited_by_count":5,"area":"lr"},{"id":"2412.18415","title":"Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English","created":"2024-12-24","cited_by_count":5,"area":"lr"},{"id":"2410.12040","title":"Concept-Reversed Winograd Schema Challenge: Evaluating and Improving Robust Reasoning in Large Language Models via Abstraction","created":"2024-10-15","cited_by_count":4,"area":"lr"},{"id":"2510.13905","title":"Schema for In-Context Learning","created":"2025-10-14","cited_by_count":4,"area":"lr"},{"id":"2405.13036","title":"Can formal argumentative reasoning enhance LLMs performances?","created":"2024-05-16","cited_by_count":3,"area":"lr"},{"id":"2412.03987","title":"MTMT: Consolidating Multiple Thinking Modes to Form a Thought Tree for Strengthening LLM","created":"2024-12-05","cited_by_count":3,"area":"lr"},{"id":"2507.00606","title":"Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies","created":"2025-07-01","cited_by_count":3,"area":"lr"},{"id":"2507.13332","title":"The Imitation Game: Turing Machine Imitator is Length Generalizable Reasoner","created":"2025-07-17","cited_by_count":3,"area":"lr"},{"id":"2406.13050","title":"Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation","created":"2024-06-18","cited_by_count":2,"area":"lr"},{"id":"2506.10987","title":"Chain of Draft for Software Engineering: Challenges in Applying Concise Reasoning to Code Tasks","created":"2025-03-12","cited_by_count":2,"area":"lr"},{"id":"2506.15894","title":"Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning","created":"2025-06-18","cited_by_count":2,"area":"lr"},{"id":"2506.17913","title":"Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents","created":"2025-06-22","cited_by_count":2,"area":"lr"},{"id":"2406.06561","title":"Brainstorming Brings Power to Large Language Models of Knowledge Reasoning","created":"2024-06-02","cited_by_count":1,"area":"lr"},{"id":"2506.08625","title":"RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step Retrieval","created":"2025-06-10","cited_by_count":1,"area":"lr"},{"id":"2507.15015","title":"MetaCrit: A Critical Thinking Framework for Self-Regulated LLM Reasoning","created":"2025-07-20","cited_by_count":1,"area":"lr"},{"id":"2507.18857","title":"PrismRAG: Boosting RAG Factuality with Distractor Resilience and Strategized Reasoning","created":"2025-07-25","cited_by_count":1,"area":"lr"},{"id":"2508.16636","title":"Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow","created":"2025-08-17","cited_by_count":1,"area":"lr"},{"id":"2510.06843","title":"Self-signals Driven Multi-LLM Debate for Efficient and Accurate Reasoning","created":"2025-10-08","cited_by_count":1,"area":"lr"},{"id":"2512.19135","title":"Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis","created":"2025-12-22","cited_by_count":1,"area":"lr"},{"id":"2509.01412","title":"Vis-CoT: A Human-in-the-Loop Framework for Interactive Visualization and Intervention in LLM Chain-of-Thought Reasoning","created":"2025-09-01","cited_by_count":0,"area":"lr"},{"id":"2510.18095","title":"SMaRT: Select, Mix, and ReinvenT -- A Strategy Fusion Framework for LLM-Driven Reasoning and Planning","created":"2025-10-20","cited_by_count":0,"area":"lr"},{"id":"2511.14813","title":"DEVAL: A Framework for Evaluating and Improving the Derivation Capability of Large Language Models","created":"2025-11-18","cited_by_count":0,"area":"lr"},{"id":"2602.22508","title":"Metacognitive Behavioral Tuning of Large Language Models for Multi-Hop Question Answering","created":"2026-02-26","cited_by_count":0,"area":"lr"},{"id":"2605.03950","title":"UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning","created":"2026-05-05","cited_by_count":0,"area":"lr"},{"id":"2605.08704","title":"AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization","created":"2026-05-09","cited_by_count":0,"area":"lr"},{"id":"2606.01240","title":"Efficient RAG with Intent-Aware Retrieval and Semantics-Preserving Chunking","created":"2026-05-31","cited_by_count":0,"area":"lr"},{"id":"2606.01581","title":"Agent System Operations: Categorization, Challenges, and Future Directions","created":"2026-06-01","cited_by_count":0,"area":"lr"},{"id":"2610.01936","title":"Mapping the RAG Landscape: A Four Axis Taxonomy of Efficiency, Defense, Interactivity, and Reasoning","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.05615","title":"DREAM: Dynamic Resolution Assignment For Multimodal Multi-agent Debate","created":"2026-10-04","cited_by_count":0,"area":"lr"},{"id":"2610.18240","title":"Beyond Answer Sharing: TrueMAD for Targeted Peer Engagement in Multi-Agent Debate","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}