{"total":22,"rows":[{"id":"2501.19393","title":"s1: Simple test-time scaling","created":"2025-01-31","cited_by_count":1341,"area":"lr"},{"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":"2506.15841","title":"MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents","created":"2025-06-18","cited_by_count":238,"area":"lr"},{"id":"2503.10460","title":"Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond","created":"2025-03-13","cited_by_count":175,"area":"lr"},{"id":"2505.19683","title":"Large Language Models for Planning: A Comprehensive and Systematic Survey","created":"2025-05-26","cited_by_count":40,"area":"lr"},{"id":"2502.14276","title":"STeCa: Step-level Trajectory Calibration for LLM Agent Learning","created":"2025-02-20","cited_by_count":37,"area":"lr"},{"id":"2506.04614","title":"Look Before You Leap: A GUI-Critic-R1 Model for Pre-Operative Error Diagnosis in GUI Automation","created":"2025-06-05","cited_by_count":27,"area":"lr"},{"id":"2502.00691","title":"To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization","created":"2025-02-02","cited_by_count":25,"area":"lr"},{"id":"2508.14313","title":"AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning","created":"2025-08-19","cited_by_count":14,"area":"lr"},{"id":"2504.11919","title":"Rethinking the Generation of High-Quality CoT Data from the Perspective of LLM-Adaptive Question Difficulty Grading","created":"2025-04-16","cited_by_count":11,"area":"lr"},{"id":"2605.05980","title":"TACT: Mitigating Overthinking and Overacting in Coding Agents via Activation Steering","created":"2026-05-07","cited_by_count":6,"area":"lr"},{"id":"2605.11556","title":"Hindsight Hint Distillation: Scaffolded Reasoning for SWE Agents from CoT-free Answers","created":"2026-05-12","cited_by_count":5,"area":"lr"},{"id":"2510.12264","title":"Reducing Belief Deviation in Reinforcement Learning for Active Reasoning","created":"2025-10-14","cited_by_count":4,"area":"lr"},{"id":"2510.24320","title":"Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning","created":"2025-10-28","cited_by_count":4,"area":"lr"},{"id":"2511.15392","title":"DEPO: Dual-Efficiency Preference Optimization for LLM Agents","created":"2025-11-19","cited_by_count":4,"area":"lr"},{"id":"2510.17498","title":"Deep Self-Evolving Reasoning","created":"2025-10-20","cited_by_count":3,"area":"lr"},{"id":"2602.13639","title":"Guided Collaboration in Heterogeneous LLM-Based Multi-Agent Systems via Entropy-Based Understanding Assessment and Experience Retrieval","created":"2026-02-14","cited_by_count":2,"area":"lr"},{"id":"2507.22074","title":"CIMR: Contextualized Iterative Multimodal Reasoning for Robust Instruction Following in LVLMs","created":"2025-07-22","cited_by_count":1,"area":"lr"},{"id":"2603.13256","title":"Training-Free Agentic AI: Probabilistic Control and Coordination in Multi-Agent LLM Systems","created":"2026-02-24","cited_by_count":1,"area":"lr"},{"id":"2607.07361","title":"BUS: Brain-Inspired Unsupervised Self-Reflection via Backward Prediction for Multimodal Reasoning","created":"2026-07-08","cited_by_count":0,"area":"lr"},{"id":"2607.19336","title":"Agents in the Wild: Where Research Meets Deployment","created":"2026-07-21","cited_by_count":0,"area":"lr"},{"id":"2608.30395","title":"When LLM Meets Tree Search: A Systematic View of Inference as Search in Large Language Models","created":"2026-08-31","cited_by_count":0,"area":"lr"}],"next_cursor":null}