{"total":31,"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":"2410.21287","title":"A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education","created":"2024-10-11","cited_by_count":16,"area":"lr"},{"id":"2510.15211","title":"ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning","created":"2025-10-17","cited_by_count":13,"area":"lr"},{"id":"2506.18237","title":"AdapThink: Adaptive Thinking Preferences for Reasoning Language Model","created":"2025-06-23","cited_by_count":11,"area":"lr"},{"id":"2509.02401","title":"Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning","created":"2025-09-02","cited_by_count":10,"area":"lr"},{"id":"2505.15214","title":"R-TOFU: Unlearning in Large Reasoning Models","created":"2025-05-21","cited_by_count":9,"area":"lr"},{"id":"2506.02911","title":"Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning","created":"2025-06-03","cited_by_count":8,"area":"lr"},{"id":"2509.05489","title":"Self-Aligned Reward: Towards Effective and Efficient Reasoners","created":"2025-09-05","cited_by_count":7,"area":"lr"},{"id":"2506.04574","title":"Reasoning or Overthinking: Evaluating Large Language Models on Financial Sentiment Analysis","created":"2025-06-05","cited_by_count":6,"area":"lr"},{"id":"2510.02377","title":"Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems","created":"2025-09-30","cited_by_count":6,"area":"lr"},{"id":"2603.15371","title":"Brain-Inspired Graph Multi-Agent Systems for LLM Reasoning","created":"2026-03-16","cited_by_count":6,"area":"lr"},{"id":"2506.02483","title":"Enhancing Large Language Models with Neurosymbolic Reasoning for Multilingual Tasks","created":"2025-06-03","cited_by_count":4,"area":"lr"},{"id":"2505.20643","title":"Can Past Experience Accelerate LLM Reasoning?","created":"2025-05-27","cited_by_count":3,"area":"lr"},{"id":"2605.22389","title":"Unified Data Selection for LLM Reasoning","created":"2026-05-21","cited_by_count":3,"area":"lr"},{"id":"2506.17533","title":"DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning","created":"2025-06-21","cited_by_count":2,"area":"lr"},{"id":"2510.16645","title":"Unleashing Diverse Thinking Modes in LLMs through Multi-Agent Collaboration","created":"2025-10-18","cited_by_count":2,"area":"lr"},{"id":"2510.24152","title":"Enhancing Vision-Language Models for Autonomous Driving through Task-Specific Prompting and Spatial Reasoning","created":"2025-10-28","cited_by_count":2,"area":"lr"},{"id":"2511.06805","title":"MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning","created":"2025-11-10","cited_by_count":2,"area":"lr"},{"id":"2506.23888","title":"Advancing Multi-Step Mathematical Reasoning in Large Language Models through Multi-Layered Self-Reflection with Auto-Prompting","created":"2025-06-30","cited_by_count":1,"area":"lr"},{"id":"2507.18368","title":"Reasoning Beyond the Obvious: Evaluating Divergent and Convergent Thinking in LLMs for Financial Scenarios","created":"2025-07-24","cited_by_count":1,"area":"lr"},{"id":"2512.20595","title":"Cube Bench: A Benchmark for Spatial Visual Reasoning in MLLMs","created":"2025-12-23","cited_by_count":1,"area":"lr"},{"id":"2605.16205","title":"Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP","created":"2026-05-15","cited_by_count":1,"area":"lr"},{"id":"2606.04503","title":"Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots","created":"2026-06-03","cited_by_count":1,"area":"lr"},{"id":"2409.12059","title":"MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping Reasoning","created":"2024-09-18","cited_by_count":0,"area":"lr"},{"id":"2505.17481","title":"MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning","created":"2025-05-23","cited_by_count":0,"area":"lr"},{"id":"2510.25310","title":"Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning","created":"2025-10-29","cited_by_count":0,"area":"lr"},{"id":"2601.13243","title":"A Comprehensive Evaluation of LLM Reasoning: From Single-Model to Multi-Agent Paradigms","created":"2026-01-19","cited_by_count":0,"area":"lr"},{"id":"2605.28144","title":"Deconstructing Spatial Complexity: Hierarchical Decomposition for LLM Spatial Reasoning","created":"2026-05-27","cited_by_count":0,"area":"lr"},{"id":"2605.31492","title":"LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories","created":"2026-05-29","cited_by_count":0,"area":"lr"},{"id":"2607.28942","title":"NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability","created":"2026-07-31","cited_by_count":0,"area":"lr"},{"id":"2610.07751","title":"How Well Do LLMs Reason with Noisy Evidence? An Active Visual Reasoning Benchmark","created":"2026-10-06","cited_by_count":0,"area":"lr"}],"next_cursor":null}