{"total":58,"rows":[{"id":"2503.09567","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","created":"2025-03-12","cited_by_count":384,"area":"lr"},{"id":"2502.17419","title":"From System 1 to System 2: A Survey of Reasoning Large Language Models","created":"2025-02-24","cited_by_count":320,"area":"lr"},{"id":"2505.04588","title":"ZeroSearch: Incentivize the Search Capability of LLMs without Searching","created":"2025-05-07","cited_by_count":208,"area":null},{"id":"2503.21460","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","created":"2025-03-27","cited_by_count":205,"area":"agents"},{"id":"2503.12605","title":"Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey","created":"2025-03-16","cited_by_count":182,"area":"lr"},{"id":"2503.04548","title":"An Empirical Study on Eliciting and Improving R1-like Reasoning Models","created":"2025-03-06","cited_by_count":78,"area":"lr"},{"id":"2508.14111","title":"From AI for Science to Agentic Science: A Survey on Autonomous Scientific Discovery","created":"2025-08-18","cited_by_count":77,"area":"agents"},{"id":"2502.12215","title":"Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?","created":"2025-02-17","cited_by_count":70,"area":"lr"},{"id":"2504.12328","title":"A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future","created":"2025-04-12","cited_by_count":53,"area":"alignment"},{"id":"2412.14135","title":"Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective","created":"2024-12-18","cited_by_count":50,"area":"lr"},{"id":"2503.16385","title":"Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation","created":"2025-03-20","cited_by_count":43,"area":"lr"},{"id":"2501.15602","title":"Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning","created":"2025-01-26","cited_by_count":36,"area":"lr"},{"id":"2501.06458","title":"O1 Replication Journey -- Part 3: Inference-time Scaling for Medical Reasoning","created":"2025-01-11","cited_by_count":35,"area":"lr"},{"id":"2503.13360","title":"Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning","created":"2025-03-17","cited_by_count":32,"area":"lr"},{"id":"2501.01306","title":"Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking","created":"2025-01-02","cited_by_count":31,"area":"lr"},{"id":"2505.24332","title":"DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning","created":"2025-05-30","cited_by_count":23,"area":"lr"},{"id":"2502.06773","title":"On the Emergence of Thinking in LLMs I: Searching for the Right Intuition","created":"2025-02-10","cited_by_count":22,"area":"lr"},{"id":"2412.15118","title":"Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation","created":"2024-12-19","cited_by_count":21,"area":"lr"},{"id":"2505.02665","title":"A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law","created":"2025-05-05","cited_by_count":19,"area":"lr"},{"id":"2508.07534","title":"From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR","created":"2025-08-11","cited_by_count":17,"area":"lr"},{"id":"2505.02865","title":"Accelerating Large Language Model Reasoning via Speculative Search","created":"2025-05-03","cited_by_count":16,"area":"lr"},{"id":"2506.15707","title":"Every Rollout Counts: Optimal Resource Allocation for Efficient Test-Time Scaling","created":"2025-05-30","cited_by_count":15,"area":"lr"},{"id":"2505.02686","title":"Sailing by the Stars: A Survey on Reward Models and Learning Strategies for Learning from Rewards","created":"2025-05-05","cited_by_count":14,"area":"lr"},{"id":"2502.02390","title":"CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning","created":"2025-02-04","cited_by_count":12,"area":"lr"},{"id":"2509.09284","title":"Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning","created":"2025-09-11","cited_by_count":12,"area":"lr"},{"id":"2509.21743","title":"Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts","created":"2025-09-26","cited_by_count":12,"area":"lr"},{"id":"2502.14333","title":"A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics","created":"2025-02-20","cited_by_count":11,"area":"lr"},{"id":"2503.23513","title":"RARE: Retrieval-Augmented Reasoning Modeling","created":"2025-03-30","cited_by_count":11,"area":"lr"},{"id":"2504.09627","title":"Slow Thinking for Sequential Recommendation","created":"2025-04-13","cited_by_count":11,"area":"lr"},{"id":"2505.15110","title":"RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals","created":"2025-05-21","cited_by_count":10,"area":"lr"},{"id":"2510.01925","title":"Enhancing Large Language Model Reasoning with Reward Models: An Analytical Survey","created":"2025-10-02","cited_by_count":8,"area":"lr"},{"id":"2412.17743","title":"YuLan-Mini: An Open Data-efficient Language Model","created":"2024-12-23","cited_by_count":7,"area":null},{"id":"2506.08691","title":"VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism","created":"2025-06-10","cited_by_count":7,"area":"lr"},{"id":"2602.09305","title":"Reward Modeling for Reinforcement Learning-Based LLM Reasoning: Design, Challenges, and Evaluation","created":"2026-02-10","cited_by_count":7,"area":"lr"},{"id":"2507.18014","title":"Predictive Scaling Laws for Efficient GRPO Training of Large Reasoning Models","created":"2025-07-24","cited_by_count":6,"area":"lr"},{"id":"2412.12583","title":"Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise","created":"2024-12-17","cited_by_count":5,"area":"alignment"},{"id":"2503.03238","title":"FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4","created":"2025-03-05","cited_by_count":5,"area":"lr"},{"id":"2503.15944","title":"From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language Models","created":"2025-03-20","cited_by_count":5,"area":"lr"},{"id":"2504.01281","title":"Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding","created":"2025-04-02","cited_by_count":5,"area":"rag"},{"id":"2507.18178","title":"Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory","created":"2025-07-24","cited_by_count":5,"area":"lr"},{"id":"2602.04417","title":"EMA Policy Gradient: Taming Reinforcement Learning for LLMs with EMA Anchor and Top-k KL","created":"2026-02-04","cited_by_count":5,"area":"lr"},{"id":"2501.02486","title":"LLMPC: Large Language Model Predictive Control","created":"2025-01-05","cited_by_count":4,"area":"lr"},{"id":"2509.04027","title":"Why Does Reasoning Length Converge? Unveiling the Underfitting-Overfitting Trade-off in Chain-of-Thought","created":"2025-09-04","cited_by_count":4,"area":"lr"},{"id":"2510.07169","title":"More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning","created":"2025-10-08","cited_by_count":4,"area":"lr"},{"id":"2506.04734","title":"Evaluation is All You Need: Strategic Overclaiming of LLM Reasoning Capabilities Through Evaluation Design","created":"2025-06-05","cited_by_count":3,"area":"lr"},{"id":"2509.05007","title":"Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework","created":"2025-09-05","cited_by_count":2,"area":"lr"},{"id":"2505.16312","title":"EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning","created":"2025-05-22","cited_by_count":1,"area":"lr"},{"id":"2505.18467","title":"Pedagogy-R1: Pedagogically-Aligned Reasoning Model with Balanced Educational Benchmark","created":"2025-05-24","cited_by_count":1,"area":"lr"},{"id":"2506.20294","title":"Ctrl-Z Sampling: Scaling Diffusion Sampling with Controlled Random Zigzag Explorations","created":"2025-06-25","cited_by_count":1,"area":"diffusion"},{"id":"2505.17829","title":"Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning","created":"2025-05-23","cited_by_count":0,"area":"lr"},{"id":"2505.18065","title":"Reward Model Generalization for Compute-Aware Test-Time Reasoning","created":"2025-05-23","cited_by_count":0,"area":"lr"},{"id":"2506.07064","title":"Com$^2$: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models","created":"2025-06-08","cited_by_count":0,"area":"lr"},{"id":"2603.16088","title":"RecBundle: A Next-Generation Geometric Paradigm for Explainable Recommender Systems","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2604.18327","title":"PARM: Pipeline-Adapted Reward Model","created":"2026-04-20","cited_by_count":0,"area":"alignment"},{"id":"2605.09853","title":"Exploration-Driven Optimization for Test-Time Large Language Model Reasoning","created":"2026-05-11","cited_by_count":0,"area":"lr"},{"id":"2605.28566","title":"Tree of Thoughts as a Classical Heuristic Search Problem: Formal Foundations and Design Patterns","created":"2026-05-27","cited_by_count":0,"area":"lr"},{"id":"2606.20599","title":"Beyond Fixed Budgets: Characterizing the Inelasticity and Limitations of Tree-of-Thought Reasoning Strategies","created":"2026-05-19","cited_by_count":0,"area":"lr"},{"id":"2607.11258","title":"TreeThink: A Modular Tree Search Library for Mathematical Reasoning with LLMs","created":"2026-07-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}