{"total":32,"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":"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":"2503.24235","title":"A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?","created":"2025-03-31","cited_by_count":223,"area":"lr"},{"id":"2503.21614","title":"A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond","created":"2025-03-27","cited_by_count":132,"area":"lr"},{"id":"2502.12215","title":"Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?","created":"2025-02-17","cited_by_count":70,"area":"lr"},{"id":"2503.01422","title":"Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding","created":"2025-03-03","cited_by_count":63,"area":"lr"},{"id":"2412.14135","title":"Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective","created":"2024-12-18","cited_by_count":50,"area":"lr"},{"id":"2501.02497","title":"A Survey of Test-Time Compute: From Intuitive Inference to Deliberate Reasoning","created":"2025-01-05","cited_by_count":40,"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":"2501.11110","title":"Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective","created":"2025-01-19","cited_by_count":29,"area":"lr"},{"id":"2505.24863","title":"AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time","created":"2025-05-30","cited_by_count":29,"area":"lr"},{"id":"2502.13575","title":"ETS: Efficient Tree Search for Inference-Time Scaling","created":"2025-02-19","cited_by_count":16,"area":"lr"},{"id":"2505.02865","title":"Accelerating Large Language Model Reasoning via Speculative Search","created":"2025-05-03","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":"2508.10874","title":"SSRL: Self-Search Reinforcement Learning","created":"2025-08-14","cited_by_count":14,"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":"2502.14333","title":"A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics","created":"2025-02-20","cited_by_count":11,"area":"lr"},{"id":"2501.13122","title":"Zero-Shot Verification-guided Chain of Thoughts","created":"2025-01-21","cited_by_count":10,"area":"lr"},{"id":"2503.14495","title":"Temporal Consistency for LLM Reasoning Process Error Identification","created":"2025-03-18","cited_by_count":10,"area":"lr"},{"id":"2509.14760","title":"Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Deliberation","created":"2025-09-18","cited_by_count":4,"area":"lr"},{"id":"2601.19847","title":"Identifying and Transferring Reasoning-Critical Neurons: Improving LLM Inference Reliability via Activation Steering","created":"2026-01-27","cited_by_count":4,"area":"lr"},{"id":"2506.15733","title":"$\\texttt{SPECS}$: Faster Test-Time Scaling through Speculative Drafts","created":"2025-06-15","cited_by_count":3,"area":"lr"},{"id":"2508.12361","title":"Navigating the Exploration-Exploitation Tradeoff in Inference-Time Scaling of Diffusion Models","created":"2025-08-17","cited_by_count":2,"area":"lr"},{"id":"2602.01485","title":"Predicting and improving test-time scaling laws via reward tail-guided search","created":"2026-02-01","cited_by_count":2,"area":"lr"},{"id":"2504.02404","title":"AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs","created":"2025-04-03","cited_by_count":1,"area":"lr"},{"id":"2509.23196","title":"From Harm to Help: Turning Reasoning In-Context Demos into Assets for Reasoning LMs","created":"2025-09-27","cited_by_count":1,"area":"lr"},{"id":"2510.21604","title":"RETuning: Upgrading Inference-Time Scaling for Stock Movement Prediction with Large Language Models","created":"2025-10-24","cited_by_count":1,"area":"lr"},{"id":"2511.12861","title":"From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models","created":"2025-11-17","cited_by_count":1,"area":"lr"},{"id":"2607.06974","title":"MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LLM Reasoning","created":"2026-07-08","cited_by_count":1,"area":"lr"},{"id":"2602.06527","title":"HyPER: Bridging Exploration and Exploitation for Scalable LLM Reasoning with Hypothesis Path Expansion and Reduction","created":"2026-02-06","cited_by_count":0,"area":"lr"},{"id":"2605.10195","title":"Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration","created":"2026-05-11","cited_by_count":0,"area":"lr"}],"next_cursor":null}