{"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":"2509.25140","title":"ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory","created":"2025-09-29","cited_by_count":284,"area":"lr"},{"id":"2504.14945","title":"Learning to Reason under Off-Policy Guidance","created":"2025-04-21","cited_by_count":281,"area":"lr"},{"id":"2505.15134","title":"The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning","created":"2025-05-21","cited_by_count":166,"area":"lr"},{"id":"2506.01347","title":"The Surprising Effectiveness of Negative Reinforcement in LLM Reasoning","created":"2025-06-02","cited_by_count":162,"area":"lr"},{"id":"2503.17352","title":"OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles","created":"2025-03-21","cited_by_count":124,"area":"lr"},{"id":"2503.07572","title":"Optimizing Test-Time Compute via Meta Reinforcement Fine-Tuning","created":"2025-03-10","cited_by_count":123,"area":"lr"},{"id":"2504.01943","title":"OpenCodeReasoning: Advancing Data Distillation for Competitive Coding","created":"2025-04-02","cited_by_count":113,"area":"lr"},{"id":"2502.17387","title":"Big-Math: A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models","created":"2025-02-24","cited_by_count":109,"area":"lr"},{"id":"2506.09026","title":"e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs","created":"2025-06-10","cited_by_count":59,"area":"lr"},{"id":"2506.04210","title":"Does Thinking More always Help? Mirage of Test-Time Scaling in Reasoning Models","created":"2025-06-04","cited_by_count":53,"area":"lr"},{"id":"2504.01005","title":"When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning","created":"2025-04-01","cited_by_count":42,"area":"lr"},{"id":"2503.24377","title":"Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models","created":"2025-03-31","cited_by_count":36,"area":"lr"},{"id":"2506.07976","title":"Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction","created":"2025-06-09","cited_by_count":34,"area":"lr"},{"id":"2508.03404","title":"Visual Document Understanding and Reasoning: A Multi-Agent Collaboration Framework with Agent-Wise Adaptive Test-Time Scaling","created":"2025-08-05","cited_by_count":30,"area":"lr"},{"id":"2507.09075","title":"OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique","created":"2025-07-11","cited_by_count":25,"area":"lr"},{"id":"2511.19942","title":"Differential Smoothing Mitigates Sharpening and Improves LLM Reasoning","created":"2025-11-25","cited_by_count":22,"area":"lr"},{"id":"2509.26314","title":"Latent Thinking Optimization: Your Latent Reasoning Language Model Secretly Encodes Reward Signals in Its Latent Thoughts","created":"2025-09-30","cited_by_count":19,"area":"lr"},{"id":"2601.18795","title":"Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes","created":"2026-01-26","cited_by_count":16,"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":"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":"2505.04842","title":"Putting the Value Back in RL: Better Test-Time Scaling by Unifying LLM Reasoners With Verifiers","created":"2025-05-07","cited_by_count":14,"area":"lr"},{"id":"2505.07961","title":"Making Small Language Models Efficient Reasoners: Intervention, Supervision, Reinforcement","created":"2025-05-12","cited_by_count":14,"area":"lr"},{"id":"2507.11662","title":"Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification","created":"2025-07-15","cited_by_count":14,"area":"lr"},{"id":"2601.14209","title":"InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning","created":"2026-01-20","cited_by_count":14,"area":"lr"},{"id":"2505.21825","title":"Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones","created":"2025-05-27","cited_by_count":13,"area":"lr"},{"id":"2506.05295","title":"Sample Complexity and Representation Ability of Test-time Scaling Paradigms","created":"2025-06-05","cited_by_count":12,"area":"lr"},{"id":"2602.03773","title":"Reasoning Cache: Continual Improvement Over Long Horizons via Short-Horizon RL","created":"2026-02-03","cited_by_count":12,"area":"lr"},{"id":"2603.04304","title":"$V_1$: Unifying Generation and Self-Verification for Parallel Reasoners","created":"2026-03-04","cited_by_count":12,"area":"lr"},{"id":"2505.20522","title":"Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models","created":"2025-05-26","cited_by_count":11,"area":"lr"},{"id":"2504.00406","title":"VerifiAgent: a Unified Verification Agent in Language Model Reasoning","created":"2025-04-01","cited_by_count":10,"area":"lr"},{"id":"2505.19634","title":"Faster and Better LLMs via Latency-Aware Test-Time Scaling","created":"2025-05-26","cited_by_count":9,"area":"lr"},{"id":"2506.04611","title":"Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning","created":"2025-06-05","cited_by_count":9,"area":"lr"},{"id":"2508.16665","title":"Trust but Verify! A Survey on Verification Design for Test-time Scaling","created":"2025-08-20","cited_by_count":8,"area":"lr"},{"id":"2510.03865","title":"Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration","created":"2025-10-04","cited_by_count":7,"area":"lr"},{"id":"2509.12434","title":"Building Coding Agents via Entropy-Enhanced Multi-Turn Preference Optimization","created":"2025-09-15","cited_by_count":6,"area":"lr"},{"id":"2601.14691","title":"Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation","created":"2026-01-21","cited_by_count":6,"area":"lr"},{"id":"2510.00819","title":"Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning","created":"2025-10-01","cited_by_count":5,"area":"lr"},{"id":"2504.01931","title":"On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows","created":"2025-04-02","cited_by_count":4,"area":"lr"},{"id":"2506.11274","title":"Learning a Continue-Thinking Token for Enhanced Test-Time Scaling","created":"2025-06-12","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":"2510.18982","title":"Test-time Verification via Optimal Transport: Coverage, ROC, & Sub-optimality","created":"2025-10-21","cited_by_count":4,"area":"lr"},{"id":"2511.07368","title":"Distributional Biases in Post-Training: A Markovian Analysis of Reasoning Trajectories","created":"2025-11-10","cited_by_count":4,"area":"lr"},{"id":"2602.01523","title":"A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning","created":"2026-02-02","cited_by_count":4,"area":"lr"},{"id":"2606.01075","title":"On the Generalization Gap in Self-Evolving Language Model Reasoning","created":"2026-05-31","cited_by_count":4,"area":"lr"},{"id":"2506.00845","title":"Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment","created":"2025-06-01","cited_by_count":3,"area":"lr"},{"id":"2509.25420","title":"Adaptive Test-Time Reasoning via Reward-Guided Dual-Phase Search","created":"2025-09-29","cited_by_count":2,"area":"lr"},{"id":"2510.15674","title":"CarBoN: Calibrated Best-of-N Sampling Improves Test-time Reasoning","created":"2025-10-17","cited_by_count":2,"area":"lr"},{"id":"2510.21398","title":"Boosting Accuracy and Efficiency of Budget Forcing in LLMs via Reinforcement Learning for Mathematical Reasoning","created":"2025-10-24","cited_by_count":2,"area":"lr"},{"id":"2605.15513","title":"CAPS: Cascaded Adaptive Pairwise Selection for Efficient Parallel Reasoning","created":"2026-05-15","cited_by_count":2,"area":"lr"},{"id":"2607.17531","title":"Oracle Gap and Signal Fidelity: A Fixed-Pool Diagnostic for Test-Time Collaboration","created":"2026-07-20","cited_by_count":2,"area":"lr"},{"id":"2507.05065","title":"Replacing thinking with tool usage enables reasoning in small language models","created":"2025-07-07","cited_by_count":1,"area":"lr"},{"id":"2510.01857","title":"Learning Reasoning Rewards from Expert Demonstrations with Inverse Reinforcement Learning","created":"2025-10-02","cited_by_count":1,"area":"lr"},{"id":"2602.10538","title":"Why Agentic Theorem Prover Works: A Statistical Provability Theory of Mathematical Reasoning Models","created":"2026-02-11","cited_by_count":1,"area":"lr"},{"id":"2607.09438","title":"Test-Time Scaling for Small VLMs on Multilingual Visual MCQ","created":"2026-07-10","cited_by_count":1,"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":"2511.21734","title":"Asking LLMs to Verify First is Almost Free Lunch","created":"2025-11-21","cited_by_count":0,"area":"lr"},{"id":"2608.09898","title":"Consilience for Verifier-Free Test-Time Scaling","created":"2026-08-10","cited_by_count":0,"area":"lr"}],"next_cursor":null}