{"total":41,"rows":[{"id":"2503.16419","title":"Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models","created":"2025-03-20","cited_by_count":464,"area":"lr"},{"id":"2504.15895","title":"Dynamic Early Exit in Reasoning Models","created":"2025-04-22","cited_by_count":219,"area":"lr"},{"id":"2502.07266","title":"When More is Less: Understanding Chain-of-Thought Length in LLMs","created":"2025-02-11","cited_by_count":183,"area":"lr"},{"id":"2504.10903","title":"Efficient Reasoning Models: A Survey","created":"2025-04-15","cited_by_count":95,"area":"lr"},{"id":"2505.07686","title":"S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models","created":"2025-05-12","cited_by_count":87,"area":"lr"},{"id":"2505.11896","title":"AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning","created":"2025-05-17","cited_by_count":87,"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":"2503.23077","title":"Efficient Inference for Large Reasoning Models: A Survey","created":"2025-03-29","cited_by_count":61,"area":"lr"},{"id":"2504.12329","title":"Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time","created":"2025-04-12","cited_by_count":48,"area":"lr"},{"id":"2505.15510","title":"Visual Thoughts: A Unified Perspective of Understanding Multimodal Chain-of-Thought","created":"2025-05-21","cited_by_count":35,"area":"lr"},{"id":"2507.02199","title":"Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer","created":"2025-07-02","cited_by_count":27,"area":"lr"},{"id":"2505.15400","title":"When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning","created":"2025-05-21","cited_by_count":26,"area":"lr"},{"id":"2510.13554","title":"Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization","created":"2025-10-15","cited_by_count":25,"area":"lr"},{"id":"2506.17088","title":"Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation","created":"2025-06-20","cited_by_count":21,"area":"lr"},{"id":"2510.09782","title":"The Geometry of Reasoning: Flowing Logics in Representation Space","created":"2025-10-10","cited_by_count":21,"area":"lr"},{"id":"2507.09876","title":"ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models","created":"2025-07-14","cited_by_count":18,"area":"lr"},{"id":"2505.20101","title":"Adaptive Deep Reasoning: Triggering Deep Thinking When Needed","created":"2025-05-26","cited_by_count":14,"area":"lr"},{"id":"2410.12323","title":"Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up","created":"2024-10-16","cited_by_count":10,"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":"2505.15372","title":"X-WebAgentBench: A Multilingual Interactive Web Benchmark for Evaluating Global Agentic System","created":"2025-05-21","cited_by_count":10,"area":"lr"},{"id":"2506.08410","title":"Large Language Models Have Intrinsic Meta-Cognition, but Need a Good Lens","created":"2025-06-10","cited_by_count":10,"area":"lr"},{"id":"2510.12680","title":"Demystifying Hybrid Thinking: Can LLMs Truly Switch Between Think and No-Think?","created":"2025-10-14","cited_by_count":9,"area":"lr"},{"id":"2503.13413","title":"DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective","created":"2025-03-17","cited_by_count":8,"area":"lr"},{"id":"2510.08189","title":"R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?","created":"2025-10-09","cited_by_count":8,"area":"lr"},{"id":"2601.11340","title":"Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models","created":"2026-01-16","cited_by_count":8,"area":"lr"},{"id":"2601.05877","title":"iReasoner: Trajectory-Aware Intrinsic Reasoning Supervision for Self-Evolving Large Multimodal Models","created":"2026-01-09","cited_by_count":7,"area":"lr"},{"id":"2502.18239","title":"Unveiling and Causalizing CoT: A Causal Pespective","created":"2025-02-25","cited_by_count":6,"area":"lr"},{"id":"2506.01301","title":"Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner","created":"2025-06-02","cited_by_count":5,"area":"lr"},{"id":"2507.06087","title":"CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs","created":"2025-07-08","cited_by_count":5,"area":"lr"},{"id":"2502.03325","title":"Electronic Circuit Principles of Large Language Models","created":"2025-02-05","cited_by_count":4,"area":"lr"},{"id":"2507.01951","title":"Test-Time Scaling with Reflective Generative Model","created":"2025-07-02","cited_by_count":4,"area":"lr"},{"id":"2509.23967","title":"HiPO: Hybrid Policy Optimization for Dynamic Reasoning in LLMs","created":"2025-09-28","cited_by_count":4,"area":"lr"},{"id":"2510.09544","title":"Beyond Surface Reasoning: Unveiling the True Long Chain-of-Thought Capacity of Diffusion Large Language Models","created":"2025-10-10","cited_by_count":4,"area":"lr"},{"id":"2601.06002","title":"The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning","created":"2026-01-09","cited_by_count":4,"area":"lr"},{"id":"2604.08243","title":"Self-Debias: Self-correcting for Debiasing Large Language Models","created":"2026-04-09","cited_by_count":3,"area":"lr"},{"id":"2606.10646","title":"How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs","created":"2026-06-09","cited_by_count":3,"area":"lr"},{"id":"2604.07922","title":"SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking","created":"2026-04-09","cited_by_count":2,"area":"lr"},{"id":"2605.11388","title":"Deep Reasoning in General Purpose Agents via Structured Meta-Cognition","created":"2026-05-12","cited_by_count":2,"area":"lr"},{"id":"2504.12334","title":"QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model","created":"2025-04-13","cited_by_count":1,"area":"lr"},{"id":"2604.20090","title":"Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework","created":"2026-04-22","cited_by_count":1,"area":"lr"},{"id":"2605.27932","title":"When Think-with-Image Meets Safety: What Determines Multimodal Jailbreak Robustness?","created":"2026-05-27","cited_by_count":1,"area":"lr"}],"next_cursor":null}