{"total":351,"rows":[{"id":"2310.01798","title":"Large Language Models Cannot Self-Correct Reasoning Yet","created":"2023-10-03","cited_by_count":1017,"area":"lr"},{"id":"2305.19118","title":"Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate","created":"2023-05-30","cited_by_count":1011,"area":"lr"},{"id":"2307.13702","title":"Measuring Faithfulness in Chain-of-Thought Reasoning","created":"2023-07-17","cited_by_count":703,"area":"lr"},{"id":"2412.21187","title":"Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs","created":"2024-12-30","cited_by_count":570,"area":"lr"},{"id":"2406.04692","title":"Mixture-of-Agents Enhances Large Language Model Capabilities","created":"2024-06-07","cited_by_count":438,"area":"lr"},{"id":"2311.10537","title":"MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning","created":"2023-11-16","cited_by_count":316,"area":"lr"},{"id":"2309.13007","title":"ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs","created":"2023-09-22","cited_by_count":309,"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":"2307.02477","title":"Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks","created":"2023-07-05","cited_by_count":246,"area":"lr"},{"id":"2308.03188","title":"Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies","created":"2023-08-06","cited_by_count":238,"area":"lr"},{"id":"2309.15402","title":"Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future","created":"2023-09-27","cited_by_count":184,"area":"lr"},{"id":"2407.18219","title":"Recursive Introspection: Teaching Language Model Agents How to Self-Improve","created":"2024-07-25","cited_by_count":165,"area":"lr"},{"id":"2402.18272","title":"Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?","created":"2024-02-28","cited_by_count":159,"area":"lr"},{"id":"2406.07394","title":"Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B","created":"2024-06-11","cited_by_count":158,"area":"lr"},{"id":"2402.08115","title":"On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks","created":"2024-02-12","cited_by_count":142,"area":"lr"},{"id":"2512.08296","title":"Towards a Science of Scaling Agent Systems","created":"2025-12-09","cited_by_count":138,"area":"lr"},{"id":"2503.21614","title":"A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond","created":"2025-03-27","cited_by_count":132,"area":"lr"},{"id":"2402.12348","title":"GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations","created":"2024-02-19","cited_by_count":120,"area":"lr"},{"id":"2503.05179","title":"Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired Sketching","created":"2025-03-07","cited_by_count":117,"area":"lr"},{"id":"2406.11776","title":"Improving Multi-Agent Debate with Sparse Communication Topology","created":"2024-06-17","cited_by_count":107,"area":"lr"},{"id":"2405.04776","title":"Chain of Thoughtlessness? An Analysis of CoT in Planning","created":"2024-05-08","cited_by_count":103,"area":"lr"},{"id":"2501.18492","title":"GuardReasoner: Towards Reasoning-based LLM Safeguards","created":"2025-01-30","cited_by_count":100,"area":"lr"},{"id":"2501.05707","title":"Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains","created":"2025-01-10","cited_by_count":95,"area":"lr"},{"id":"2308.04371","title":"Cumulative Reasoning with Large Language Models","created":"2023-08-08","cited_by_count":94,"area":"lr"},{"id":"2402.14809","title":"CriticBench: Benchmarking LLMs for Critique-Correct Reasoning","created":"2024-02-22","cited_by_count":88,"area":"lr"},{"id":"2502.18439","title":"MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning","created":"2025-02-25","cited_by_count":86,"area":"lr"},{"id":"2312.01823","title":"Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication","created":"2023-12-04","cited_by_count":82,"area":"lr"},{"id":"2508.17536","title":"Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?","created":"2025-08-24","cited_by_count":81,"area":"lr"},{"id":"2503.09501","title":"ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning","created":"2025-03-12","cited_by_count":79,"area":"lr"},{"id":"2412.01928","title":"MALT: Improving Reasoning with Multi-Agent LLM Training","created":"2024-12-02","cited_by_count":76,"area":"lr"},{"id":"2311.11797","title":"Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents","created":"2023-11-20","cited_by_count":72,"area":"lr"},{"id":"2401.02009","title":"Self-Contrast: Better Reflection Through Inconsistent Solving Perspectives","created":"2024-01-04","cited_by_count":71,"area":"lr"},{"id":"2310.00280","title":"Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration","created":"2023-09-30","cited_by_count":70,"area":"lr"},{"id":"2410.04707","title":"Learning How Hard to Think: Input-Adaptive Allocation of LM Computation","created":"2024-10-07","cited_by_count":70,"area":"lr"},{"id":"2409.14051","title":"GroupDebate: Enhancing the Efficiency of Multi-Agent Debate Using Group Discussion","created":"2024-09-21","cited_by_count":67,"area":"lr"},{"id":"2509.05396","title":"Talk Isn't Always Cheap: Understanding Failure Modes in Multi-Agent Debate","created":"2025-09-05","cited_by_count":66,"area":"lr"},{"id":"2502.20379","title":"Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers","created":"2025-02-27","cited_by_count":62,"area":"lr"},{"id":"2504.15466","title":"Learning Adaptive Parallel Reasoning with Language Models","created":"2025-04-21","cited_by_count":58,"area":"lr"},{"id":"2505.23399","title":"GAM-Agent: Game-Theoretic and Uncertainty-Aware Collaboration for Complex Visual Reasoning","created":"2025-05-29","cited_by_count":58,"area":"lr"},{"id":"2509.14279","title":"Towards Robust Agentic CUDA Kernel Benchmarking, Verification, and Optimization","created":"2025-09-16","cited_by_count":56,"area":"lr"},{"id":"2502.00674","title":"Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?","created":"2025-02-02","cited_by_count":54,"area":"lr"},{"id":"2507.23348","title":"SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution","created":"2025-07-31","cited_by_count":53,"area":"lr"},{"id":"2310.06272","title":"Let Models Speak Ciphers: Multiagent Debate through Embeddings","created":"2023-10-10","cited_by_count":51,"area":"lr"},{"id":"2311.08152","title":"Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration","created":"2023-11-14","cited_by_count":51,"area":"lr"},{"id":"2401.15585","title":"Evaluating Gender Bias in Large Language Models via Chain-of-Thought Prompting","created":"2024-01-28","cited_by_count":50,"area":"lr"},{"id":"2407.14507","title":"Internal Consistency and Self-Feedback in Large Language Models: A Survey","created":"2024-07-19","cited_by_count":50,"area":"lr"},{"id":"2503.03686","title":"MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems","created":"2025-03-05","cited_by_count":50,"area":"lr"},{"id":"2406.06461","title":"Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies","created":"2024-06-10","cited_by_count":45,"area":"lr"},{"id":"2409.15146","title":"COHERENT: Collaboration of Heterogeneous Multi-Robot System with Large Language Models","created":"2024-09-23","cited_by_count":45,"area":"lr"},{"id":"2502.04780","title":"SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning","created":"2025-02-07","cited_by_count":44,"area":"lr"},{"id":"2502.08788","title":"Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity","created":"2025-02-12","cited_by_count":44,"area":"lr"},{"id":"2402.01620","title":"MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models","created":"2024-02-02","cited_by_count":43,"area":"lr"},{"id":"2409.12147","title":"MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning","created":"2024-09-18","cited_by_count":41,"area":"lr"},{"id":"2501.02497","title":"A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning","created":"2025-01-05","cited_by_count":40,"area":"lr"},{"id":"2309.06275","title":"Re-Reading Improves Reasoning in Large Language Models","created":"2023-09-12","cited_by_count":37,"area":"lr"},{"id":"2309.06553","title":"Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL","created":"2023-09-13","cited_by_count":37,"area":"lr"},{"id":"2310.03965","title":"Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models","created":"2023-10-06","cited_by_count":37,"area":"lr"},{"id":"2410.06458","title":"LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints","created":"2024-10-09","cited_by_count":35,"area":"lr"},{"id":"2508.01491","title":"The Homogenizing Effect of Large Language Models on Human Expression and Thought","created":"2025-08-02","cited_by_count":35,"area":"lr"},{"id":"2402.17231","title":"MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical Reasoning","created":"2024-02-27","cited_by_count":34,"area":"lr"},{"id":"2502.17651","title":"METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling","created":"2025-02-24","cited_by_count":34,"area":"lr"},{"id":"2506.06097","title":"VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning","created":"2025-06-06","cited_by_count":32,"area":"lr"},{"id":"2404.17729","title":"CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving","created":"2024-04-26","cited_by_count":31,"area":"lr"},{"id":"2503.02390","title":"ReSo: A Reward-driven Self-organizing LLM-based Multi-Agent System for Reasoning Tasks","created":"2025-03-04","cited_by_count":31,"area":"lr"},{"id":"2510.20733","title":"Thought Communication in Multiagent Collaboration","created":"2025-10-23","cited_by_count":30,"area":"lr"},{"id":"2604.02460","title":"Single-Agent LLMs Outperform Multi-Agent Systems on Multi-Hop Reasoning Under Equal Thinking Token Budgets","created":"2026-04-02","cited_by_count":30,"area":"lr"},{"id":"2411.19865","title":"Reverse Thinking Makes LLMs Stronger Reasoners","created":"2024-11-29","cited_by_count":29,"area":"lr"},{"id":"2509.11035","title":"Free-MAD: Consensus-Free Multi-Agent Debate","created":"2025-09-14","cited_by_count":29,"area":"lr"},{"id":"2506.05345","title":"Inference-Time Hyper-Scaling with KV Cache Compression","created":"2025-06-05","cited_by_count":27,"area":"lr"},{"id":"2506.08379","title":"Reinforce LLM Reasoning through Multi-Agent Reflection","created":"2025-06-10","cited_by_count":27,"area":"lr"},{"id":"2312.04854","title":"Learning to Break: Knowledge-Enhanced Reasoning in Multi-Agent Debate System","created":"2023-12-08","cited_by_count":26,"area":"lr"},{"id":"2411.19477","title":"Provable Scaling Laws for the Test-Time Compute of Large Language Models","created":"2024-11-29","cited_by_count":26,"area":"lr"},{"id":"2510.01499","title":"Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information","created":"2025-10-01","cited_by_count":26,"area":"lr"},{"id":"2402.13212","title":"Soft Self-Consistency Improves Language Model Agents","created":"2024-02-20","cited_by_count":25,"area":"lr"},{"id":"2503.10814","title":"Thinking Machines: A Survey of LLM based Reasoning Strategies","created":"2025-03-13","cited_by_count":25,"area":"lr"},{"id":"2503.05641","title":"Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills","created":"2025-03-07","cited_by_count":24,"area":"lr"},{"id":"2308.09853","title":"How susceptible are LLMs to Logical Fallacies?","created":"2023-08-18","cited_by_count":23,"area":"lr"},{"id":"2311.16842","title":"RELIC: Investigating Large Language Model Responses using Self-Consistency","created":"2023-11-28","cited_by_count":23,"area":"lr"},{"id":"2510.12697","title":"Multi-Agent Debate for LLM Judges with Adaptive Stability Detection","created":"2025-10-14","cited_by_count":23,"area":"lr"},{"id":"2412.15238","title":"Dipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning tasks","created":"2024-12-12","cited_by_count":22,"area":"lr"},{"id":"2502.04790","title":"S$^2$-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate Efficiency","created":"2025-02-07","cited_by_count":22,"area":"lr"},{"id":"2601.12307","title":"Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline","created":"2026-01-18","cited_by_count":22,"area":"lr"},{"id":"2503.17439","title":"LEMMA: Learning from Errors for MatheMatical Advancement in LLMs","created":"2025-03-21","cited_by_count":21,"area":"lr"},{"id":"2510.01123","title":"Rethinking Thinking Tokens: LLMs as Improvement Operators","created":"2025-10-01","cited_by_count":21,"area":"lr"},{"id":"2504.00762","title":"Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute","created":"2025-04-01","cited_by_count":20,"area":"lr"},{"id":"2505.22960","title":"Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness","created":"2025-05-29","cited_by_count":20,"area":"lr"},{"id":"2409.03155","title":"Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models","created":"2024-09-05","cited_by_count":19,"area":"lr"},{"id":"2601.01685","title":"Lying with Truths: Open-Channel Multi-Agent Collusion for Belief Manipulation via Generative Montage","created":"2026-01-04","cited_by_count":19,"area":"lr"},{"id":"2311.08154","title":"Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios","created":"2023-11-14","cited_by_count":18,"area":"lr"},{"id":"2509.03817","title":"Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning","created":"2025-09-04","cited_by_count":18,"area":"lr"},{"id":"2511.13288","title":"Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO","created":"2025-11-17","cited_by_count":18,"area":"lr"},{"id":"2601.19921","title":"Demystifying Multi-Agent Debate: The Role of Confidence and Diversity","created":"2026-01-09","cited_by_count":18,"area":"lr"},{"id":"2602.09341","title":"Auditing Multi-Agent LLM Reasoning Trees Outperforms Majority Vote and LLM-as-Judge","created":"2026-02-10","cited_by_count":18,"area":"lr"},{"id":"2409.01524","title":"S^3cMath: Spontaneous Step-level Self-correction Makes Large Language Models Better Mathematical Reasoners","created":"2024-09-03","cited_by_count":17,"area":"lr"},{"id":"2410.22480","title":"Scaling LLM Inference with Optimized Sample Compute Allocation","created":"2024-10-29","cited_by_count":16,"area":"lr"},{"id":"2501.14082","title":"Communicating Activations Between Language Model Agents","created":"2025-01-23","cited_by_count":16,"area":"lr"},{"id":"2501.00430","title":"Enhancing LLM Reasoning with Multi-Path Collaborative Reactive and Reflection agents","created":"2024-12-31","cited_by_count":15,"area":"lr"},{"id":"2504.13828","title":"Generative AI Act II: Test Time Scaling Drives Cognition Engineering","created":"2025-04-18","cited_by_count":15,"area":"lr"},{"id":"2509.11656","title":"MALLM: Multi-Agent Large Language Models Framework","created":"2025-09-15","cited_by_count":15,"area":"lr"},{"id":"2512.01992","title":"LLM CHESS: Benchmarking Reasoning and Instruction-Following in LLMs through Chess","created":"2025-12-01","cited_by_count":15,"area":"lr"}],"next_cursor":"100"}