{"total":28,"rows":[{"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":"2508.05004","title":"R-Zero: Self-Evolving Reasoning LLM from Zero Data","created":"2025-08-07","cited_by_count":228,"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":"2506.08989","title":"SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning","created":"2025-06-10","cited_by_count":42,"area":"lr"},{"id":"2505.13975","title":"DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models","created":"2025-05-20","cited_by_count":30,"area":"lr"},{"id":"2510.04040","title":"FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning","created":"2025-10-05","cited_by_count":26,"area":"lr"},{"id":"2409.04168","title":"From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks","created":"2024-09-06","cited_by_count":22,"area":"lr"},{"id":"2601.12294","title":"ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents","created":"2026-01-18","cited_by_count":14,"area":"lr"},{"id":"2412.14368","title":"Beyond Math: Stories as a Testbed for Memorization-Constrained Reasoning in LLMs","created":"2024-12-18","cited_by_count":12,"area":"lr"},{"id":"2506.15629","title":"Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability","created":"2025-06-18","cited_by_count":10,"area":"lr"},{"id":"2511.07979","title":"Benchmarking Multi-Step Legal Reasoning and Analyzing Chain-of-Thought Effects in Large Language Models","created":"2025-11-11","cited_by_count":10,"area":"lr"},{"id":"2505.18759","title":"The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation","created":"2025-05-24","cited_by_count":9,"area":"lr"},{"id":"2412.07906","title":"Rethinking Emotion Annotations in the Era of Large Language Models","created":"2024-12-10","cited_by_count":8,"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":"2511.09833","title":"ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking","created":"2025-11-13","cited_by_count":4,"area":"lr"},{"id":"2604.22597","title":"Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity","created":"2026-04-24","cited_by_count":3,"area":"lr"},{"id":"2412.17052","title":"ViLBias: Detecting and Reasoning about Bias in Multimodal Content","created":"2024-12-22","cited_by_count":1,"area":"lr"},{"id":"2510.20188","title":"TRUST: A Decentralized Framework for Auditing Large Language Model Reasoning","created":"2025-10-23","cited_by_count":1,"area":"lr"},{"id":"2511.02854","title":"SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation","created":"2025-10-31","cited_by_count":1,"area":"lr"},{"id":"2602.01689","title":"What LLMs Think When You Don't Tell Them What to Think About?","created":"2026-02-02","cited_by_count":1,"area":"lr"},{"id":"2603.19266","title":"Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion","created":"2026-02-26","cited_by_count":1,"area":"lr"},{"id":"2609.17536","title":"Think Before You Comfort: Reflective Cognitive Alignment for Protocol-Grounded Elderly Stimulation Agents","created":"2026-07-13","cited_by_count":1,"area":"lr"},{"id":"2508.15180","title":"PuzzleClone: A DSL-Powered Framework for Synthesizing Verifiable Data","created":"2025-08-21","cited_by_count":0,"area":"lr"},{"id":"2510.08615","title":"Iterative LLM-Based Generation and Refinement of Distracting Conditions in Math Word Problems","created":"2025-10-08","cited_by_count":0,"area":"lr"},{"id":"2510.16686","title":"Investigating the Impact of Rationales for LLMs on Natural Language Understanding","created":"2025-10-19","cited_by_count":0,"area":"lr"},{"id":"2602.04856","title":"CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation","created":"2026-02-04","cited_by_count":0,"area":"lr"},{"id":"2604.03374","title":"CresOWLve: Benchmarking Creative Problem-Solving Over Real-World Knowledge","created":"2026-04-03","cited_by_count":0,"area":"lr"},{"id":"2610.04299","title":"Questioning the Questions: Sustaining Self-Evolution in Reasoning Models","created":"2026-10-03","cited_by_count":0,"area":"lr"}],"next_cursor":null}