{"total":39,"rows":[{"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":"2507.21848","title":"EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity","created":"2025-07-29","cited_by_count":41,"area":"lr"},{"id":"2505.03469","title":"Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models","created":"2025-05-06","cited_by_count":39,"area":"lr"},{"id":"2505.17827","title":"Not All Tokens Are What You Need In Thinking","created":"2025-05-23","cited_by_count":20,"area":"lr"},{"id":"2504.17565","title":"DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training","created":"2025-04-24","cited_by_count":18,"area":"lr"},{"id":"2506.01369","title":"Incentivizing LLMs to Self-Verify Their Answers","created":"2025-06-02","cited_by_count":17,"area":"lr"},{"id":"2504.00829","title":"How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study","created":"2025-04-01","cited_by_count":14,"area":"lr"},{"id":"2505.20522","title":"Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models","created":"2025-05-26","cited_by_count":11,"area":"lr"},{"id":"2507.06829","title":"Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework","created":"2025-07-09","cited_by_count":10,"area":"lr"},{"id":"2602.21952","title":"MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving","created":"2026-02-25","cited_by_count":10,"area":"lr"},{"id":"2506.04611","title":"Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning","created":"2025-06-05","cited_by_count":9,"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":"2506.20729","title":"Test-time Scaling Techniques in Theoretical Physics -- A Comparison of Methods on the TPBench Dataset","created":"2025-06-25","cited_by_count":8,"area":"lr"},{"id":"2510.23596","title":"Think Twice: Branch-and-Rethink Reasoning Reward Model","created":"2025-10-27","cited_by_count":7,"area":"lr"},{"id":"2603.03292","title":"From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG","created":"2026-02-06","cited_by_count":7,"area":"lr"},{"id":"2509.04474","title":"Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling","created":"2025-08-30","cited_by_count":6,"area":"lr"},{"id":"2510.23458","title":"BrowseConf: Confidence-Guided Test-Time Scaling for Web Agents","created":"2025-10-27","cited_by_count":5,"area":"lr"},{"id":"2604.01591","title":"ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement","created":"2026-04-02","cited_by_count":5,"area":"lr"},{"id":"2504.06581","title":"Right Prediction, Wrong Reasoning: Uncovering LLM Misalignment in RA Disease Diagnosis","created":"2025-04-09","cited_by_count":4,"area":"lr"},{"id":"2505.15340","title":"SSR: Speculative Parallel Scaling Reasoning in Test-time","created":"2025-05-21","cited_by_count":4,"area":"lr"},{"id":"2507.02851","title":"MOTIF: Modular Thinking via Reinforcement Fine-tuning in LLMs","created":"2025-07-03","cited_by_count":4,"area":"lr"},{"id":"2602.04496","title":"ReThinker: Scientific Reasoning by Rethinking with Guided Reflection and Confidence Control","created":"2026-02-04","cited_by_count":4,"area":"lr"},{"id":"2604.05868","title":"Understanding Performance Gap Between Parallel and Sequential Sampling in Large Reasoning Models","created":"2026-04-07","cited_by_count":4,"area":"lr"},{"id":"2506.22376","title":"OptScale: Probabilistic Optimality for Inference-time Scaling","created":"2025-06-27","cited_by_count":3,"area":"lr"},{"id":"2505.14684","title":"Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning","created":"2025-05-20","cited_by_count":2,"area":"lr"},{"id":"2506.21285","title":"Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning","created":"2025-06-26","cited_by_count":2,"area":"lr"},{"id":"2509.05007","title":"Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework","created":"2025-09-05","cited_by_count":2,"area":"lr"},{"id":"2509.22144","title":"From Long to Lean: Performance-aware and Adaptive Chain-of-Thought Compression via Multi-round Refinement","created":"2025-09-26","cited_by_count":2,"area":"lr"},{"id":"2601.18197","title":"GAIA: A Data Flywheel System for Training GUI Test-Time Scaling Critic Models","created":"2026-01-26","cited_by_count":2,"area":"lr"},{"id":"2511.22176","title":"Focused Chain-of-Thought: Efficient LLM Reasoning via Structured Input Information","created":"2025-11-27","cited_by_count":1,"area":"lr"},{"id":"2601.05616","title":"Dual-Phase LLM Reasoning: Self-Evolved Mathematical Frameworks","created":"2026-01-09","cited_by_count":1,"area":"lr"},{"id":"2605.14358","title":"Uncovering the Representation Geometry of Minimal Cores in Overcomplete Reasoning Traces","created":"2026-05-14","cited_by_count":1,"area":"lr"},{"id":"2606.08974","title":"Diverse Thinking Schemata Elicit Better Reasoning in Large Language Models","created":"2026-06-08","cited_by_count":1,"area":"lr"},{"id":"2601.01532","title":"Aletheia: Quantifying Cognitive Conviction in Reasoning Models via Regularized Inverse Confusion Matrix","created":"2026-01-04","cited_by_count":0,"area":"lr"},{"id":"2602.01120","title":"MarkovScale: Towards Optimal Sequential Scaling at Inference Time","created":"2026-02-01","cited_by_count":0,"area":"lr"},{"id":"2605.18209","title":"SPATIOROUTE: Dynamic Prompt Routing for Zero-Shot Spatial Reasoning","created":"2026-05-18","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":"2607.14049","title":"Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models","created":"2026-07-15","cited_by_count":0,"area":"lr"},{"id":"2610.00940","title":"ReHoPER: Receding-Horizon Planning for Enhanced Reasoning","created":"2026-10-01","cited_by_count":0,"area":"lr"}],"next_cursor":null}