{"total":34,"rows":[{"id":"2505.05410","title":"Reasoning Models Don't Always Say What They Think","created":"2025-05-08","cited_by_count":415,"area":"lr"},{"id":"2407.18219","title":"Recursive Introspection: Teaching Language Model Agents How to Self-Improve","created":"2024-07-25","cited_by_count":165,"area":"lr"},{"id":"2501.08156","title":"Are DeepSeek R1 And Other Reasoning Models More Faithful?","created":"2025-01-14","cited_by_count":72,"area":"lr"},{"id":"2403.02333","title":"Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning","created":"2024-03-04","cited_by_count":58,"area":"lr"},{"id":"2405.18634","title":"A Theoretical Understanding of Self-Correction through In-context Alignment","created":"2024-05-28","cited_by_count":44,"area":"lr"},{"id":"2410.23856","title":"Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?","created":"2024-10-31","cited_by_count":41,"area":"lr"},{"id":"2506.08292","title":"From Debate to Equilibrium: Belief-Driven Multi-Agent LLM Reasoning via Bayesian Nash Equilibrium","created":"2025-06-09","cited_by_count":26,"area":"lr"},{"id":"2410.18693","title":"Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch","created":"2024-10-24","cited_by_count":24,"area":"lr"},{"id":"2507.04742","title":"Activation Steering for Chain-of-Thought Compression","created":"2025-07-07","cited_by_count":24,"area":"lr"},{"id":"2402.14874","title":"Distillation Contrastive Decoding: Improving LLMs Reasoning with Contrastive Decoding and Distillation","created":"2024-02-21","cited_by_count":16,"area":"lr"},{"id":"2404.14812","title":"Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns","created":"2024-04-23","cited_by_count":13,"area":"lr"},{"id":"2402.18344","title":"Focus on Your Question! Interpreting and Mitigating Toxic CoT Problems in Commonsense Reasoning","created":"2024-02-28","cited_by_count":11,"area":"lr"},{"id":"2403.08211","title":"Large Language Models are Contrastive Reasoners","created":"2024-03-13","cited_by_count":11,"area":"lr"},{"id":"2412.10827","title":"Rethinking Chain-of-Thought from the Perspective of Self-Training","created":"2024-12-14","cited_by_count":10,"area":"lr"},{"id":"2504.05294","title":"Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations","created":"2025-04-07","cited_by_count":9,"area":"lr"},{"id":"2506.00842","title":"Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience","created":"2025-06-01","cited_by_count":8,"area":"lr"},{"id":"2412.03944","title":"Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation","created":"2024-12-05","cited_by_count":6,"area":"lr"},{"id":"2410.12997","title":"\"Let's Argue Both Sides\": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities","created":"2024-10-16","cited_by_count":4,"area":"lr"},{"id":"2510.20098","title":"Leveraging the Power of Large Language Models in Entity Linking via Adaptive Routing and Targeted Reasoning","created":"2025-10-23","cited_by_count":4,"area":"lr"},{"id":"2607.01511","title":"Revisiting Chain-of-Thought Reasoning under Limited Supervision: Semi-supervised Chain-of-Thought Learning","created":"2026-07-01","cited_by_count":4,"area":"lr"},{"id":"2405.13036","title":"Can formal argumentative reasoning enhance LLMs performances?","created":"2024-05-16","cited_by_count":3,"area":"lr"},{"id":"2505.14932","title":"FOL-Traces: Verified First-Order Logic Reasoning Traces at Scale","created":"2025-05-20","cited_by_count":3,"area":"lr"},{"id":"2507.09850","title":"The Challenge of Teaching Reasoning to LLMs Without RL or Distillation","created":"2025-07-14","cited_by_count":3,"area":"lr"},{"id":"2509.17905","title":"Mitigating Strategy-Selection Bias in Reasoning for More Effective Test-Time Scaling","created":"2025-09-22","cited_by_count":3,"area":"lr"},{"id":"2606.11164","title":"ReasonAlloc: Hierarchical Decoding-Time KV Cache Budget Allocation for Reasoning Models","created":"2026-06-09","cited_by_count":3,"area":"lr"},{"id":"2508.16514","title":"FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline","created":"2025-08-22","cited_by_count":2,"area":"lr"},{"id":"2409.00131","title":"Logic Contrastive Reasoning with Lightweight Large Language Model for Math Word Problems","created":"2024-08-29","cited_by_count":1,"area":"lr"},{"id":"2412.06975","title":"AutoReason: Automatic Few-Shot Reasoning Decomposition","created":"2024-12-09","cited_by_count":1,"area":"lr"},{"id":"2507.20758","title":"How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and Activation","created":"2025-07-28","cited_by_count":1,"area":"lr"},{"id":"2604.17800","title":"ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning","created":"2026-04-20","cited_by_count":1,"area":"lr"},{"id":"2604.23270","title":"CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning","created":"2026-04-25","cited_by_count":1,"area":"lr"},{"id":"2407.01046","title":"FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in Large Language Models","created":"2024-07-01","cited_by_count":0,"area":"lr"},{"id":"2505.12896","title":"On the Thinking-Language Modeling Gap in Large Language Models","created":"2025-05-19","cited_by_count":0,"area":"lr"},{"id":"2606.05382","title":"Synthetic Contrastive Reasoning for Multi-Table Q&A","created":"2026-06-03","cited_by_count":0,"area":"lr"}],"next_cursor":null}