{"total":53,"rows":[{"id":"2505.23281","title":"MathArena: Evaluating LLMs on Uncontaminated Math Competitions","created":"2025-05-29","cited_by_count":297,"area":"lr"},{"id":"2506.09038","title":"AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions","created":"2025-06-10","cited_by_count":145,"area":"lr"},{"id":"2508.10751","title":"Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models","created":"2025-08-14","cited_by_count":138,"area":"lr"},{"id":"2505.07773","title":"Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving","created":"2025-05-12","cited_by_count":62,"area":"lr"},{"id":"2504.16074","title":"PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models","created":"2025-04-22","cited_by_count":61,"area":"lr"},{"id":"2508.14029","title":"Beyond Pass@1: Self-Play with Variational Problem Synthesis Sustains RLVR","created":"2025-08-19","cited_by_count":54,"area":"lr"},{"id":"2505.17612","title":"Distilling LLM Agent into Small Models with Retrieval and Code Tools","created":"2025-05-23","cited_by_count":47,"area":"lr"},{"id":"2606.13392","title":"MiniMax Sparse Attention","created":"2026-06-11","cited_by_count":44,"area":"lr"},{"id":"2506.14755","title":"Optimizing Length Compression in Large Reasoning Models","created":"2025-06-17","cited_by_count":38,"area":"lr"},{"id":"2510.26768","title":"AMO-Bench: Large Language Models Still Struggle in High School Math Competitions","created":"2025-10-30","cited_by_count":38,"area":"lr"},{"id":"2505.12575","title":"RealMath: A Continuous Benchmark for Evaluating Language Models on Research-Level Mathematics","created":"2025-05-18","cited_by_count":31,"area":"lr"},{"id":"2509.25666","title":"Nudging the Boundaries of LLM Reasoning","created":"2025-09-30","cited_by_count":26,"area":"lr"},{"id":"2505.17653","title":"GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs","created":"2025-05-23","cited_by_count":13,"area":"lr"},{"id":"2507.21476","title":"Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench","created":"2025-07-29","cited_by_count":8,"area":"lr"},{"id":"2604.18419","title":"Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM Reasoning","created":"2026-04-20","cited_by_count":8,"area":"lr"},{"id":"2601.03093","title":"ATLAS: Verifier-Guided Adaptive Latent Activation Steering for Efficient LLM Reasoning","created":"2026-01-06","cited_by_count":6,"area":"lr"},{"id":"2601.03154","title":"Decoupling the Effect of Chain-of-Thought Reasoning: A Human Label Variation Perspective","created":"2026-01-06","cited_by_count":6,"area":"lr"},{"id":"2601.03320","title":"Ratio-Variance Regularized Policy Optimization for Efficient LLM Fine-tuning","created":"2026-01-06","cited_by_count":6,"area":"lr"},{"id":"2604.18584","title":"MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval","created":"2026-04-20","cited_by_count":6,"area":"lr"},{"id":"2604.20806","title":"OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model","created":"2026-04-22","cited_by_count":5,"area":"lr"},{"id":"2606.22317","title":"Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model","created":"2026-06-21","cited_by_count":5,"area":"lr"},{"id":"2505.13498","title":"IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation","created":"2025-05-16","cited_by_count":4,"area":"lr"},{"id":"2509.07711","title":"RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning","created":"2025-09-09","cited_by_count":3,"area":"lr"},{"id":"2509.23219","title":"WirelessMathLM: Teaching Mathematical Reasoning for LLMs in Wireless Communications with Reinforcement Learning","created":"2025-09-27","cited_by_count":3,"area":"lr"},{"id":"2510.15244","title":"Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning","created":"2025-10-17","cited_by_count":3,"area":"lr"},{"id":"2512.05962","title":"Whatever Remains Must Be True: Filtering Drives Reasoning in LLMs, Shaping Diversity","created":"2025-12-05","cited_by_count":3,"area":"lr"},{"id":"2602.06319","title":"Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems","created":"2026-02-06","cited_by_count":3,"area":"lr"},{"id":"2602.21887","title":"ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language Selection","created":"2026-02-25","cited_by_count":3,"area":"lr"},{"id":"2605.22389","title":"Unified Data Selection for LLM Reasoning","created":"2026-05-21","cited_by_count":3,"area":"lr"},{"id":"2509.01619","title":"Throttling Web Agents Using Reasoning Gates","created":"2025-09-01","cited_by_count":2,"area":"lr"},{"id":"2510.17900","title":"Are LLMs Court-Ready? Evaluating Frontier Models on Indian Legal Reasoning","created":"2025-10-19","cited_by_count":2,"area":"lr"},{"id":"2512.05033","title":"Arbitrage: Efficient Reasoning via Advantage-Aware Speculation","created":"2025-12-04","cited_by_count":2,"area":"lr"},{"id":"2512.19799","title":"PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research","created":"2025-12-22","cited_by_count":2,"area":"lr"},{"id":"2607.14658","title":"TopoAgent: A Self-Evolving Topological Agent for Multimodal Scientific Reasoning","created":"2026-07-16","cited_by_count":2,"area":"lr"},{"id":"2608.02442","title":"Right Answer, Wrong Method: Shortcut Hacking Misleads the Evaluation of LLM Reasoning on Frontier Science Benchmarks","created":"2026-08-03","cited_by_count":2,"area":"lr"},{"id":"2510.09189","title":"LLaMAX2: Your Translation-Enhanced Model also Performs Well in Reasoning","created":"2025-10-10","cited_by_count":1,"area":"lr"},{"id":"2601.08403","title":"Owen-Shapley Policy Optimization: A Principled RL Algorithm for Generative Search LLMs","created":"2026-01-13","cited_by_count":1,"area":"lr"},{"id":"2604.26326","title":"Addressing Performance Saturation for LLM RL via Precise Entropy Curve Control","created":"2026-04-29","cited_by_count":1,"area":"lr"},{"id":"2605.09292","title":"Beyond Accuracy: Evaluating Strategy Diversity in LLM Mathematical Reasoning","created":"2026-05-10","cited_by_count":1,"area":"lr"},{"id":"2506.12909","title":"SciDA: Scientific Dynamic Assessor of LLMs","created":"2025-06-15","cited_by_count":0,"area":"lr"},{"id":"2601.14695","title":"CoScale-RL: Efficient Post-Training by Co-Scaling Data and Computation","created":"2026-01-21","cited_by_count":0,"area":"lr"},{"id":"2602.01660","title":"CoDiQ: Test-Time Scaling for Controllable Difficult Question Generation","created":"2026-02-02","cited_by_count":0,"area":"lr"},{"id":"2603.03334","title":"The CompMath-MCQ Dataset: Are LLMs Ready for Higher-Level Math?","created":"2026-02-11","cited_by_count":0,"area":"lr"},{"id":"2603.22689","title":"Think 360{\\deg}: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth","created":"2026-03-24","cited_by_count":0,"area":"lr"},{"id":"2604.19295","title":"TEMPO: Scaling Test-time Training for Large Reasoning Models","created":"2026-04-21","cited_by_count":0,"area":"lr"},{"id":"2605.09012","title":"Re$^2$Math: Benchmarking Theorem Retrieval in Research-Level Mathematics","created":"2026-05-09","cited_by_count":0,"area":"lr"},{"id":"2605.12524","title":"Stress-Testing the Reasoning Competence of LLMs With Proofs Under Minimal Formalism","created":"2026-04-07","cited_by_count":0,"area":"lr"},{"id":"2605.29190","title":"When RL Suppresses Its Own Vocabulary: Recovering Reasoning Diversity in Puzzle-to-Math Transfer","created":"2026-05-28","cited_by_count":0,"area":"lr"},{"id":"2606.00532","title":"KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning","created":"2026-05-30","cited_by_count":0,"area":"lr"},{"id":"2606.10479","title":"ComBench: A Benchmark for Rigorous Proof Reasoning and Constructive Realization in Olympiad-Level Combinatorics","created":"2026-06-09","cited_by_count":0,"area":"lr"},{"id":"2606.11470","title":"The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes","created":"2026-06-09","cited_by_count":0,"area":"lr"},{"id":"2610.04882","title":"ResOPD: Tail Residualization for Sparse On-Policy Distillation","created":"2026-10-04","cited_by_count":0,"area":"lr"},{"id":"2610.05976","title":"Can Language Models Learn to Reject Their Own Bad Reasoning Steps?","created":"2026-10-05","cited_by_count":0,"area":"lr"}],"next_cursor":null}