{"total":22,"rows":[{"id":"2503.12605","title":"Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey","created":"2025-03-16","cited_by_count":182,"area":"lr"},{"id":"2505.04921","title":"Perception, Reason, Think, and Plan: A Survey on Large Multimodal Reasoning Models","created":"2025-05-08","cited_by_count":90,"area":"lr"},{"id":"2501.04686","title":"Unlocking Multimodal Mathematical Reasoning via Process Reward Model","created":"2025-01-08","cited_by_count":65,"area":"lr"},{"id":"2505.22453","title":"First SFT, Second RL, Third UPT: Continual Improving Multi-Modal LLM Reasoning via Unsupervised Post-Training","created":"2025-05-28","cited_by_count":34,"area":"lr"},{"id":"2504.08813","title":"SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models","created":"2025-04-09","cited_by_count":29,"area":"lr"},{"id":"2509.03871","title":"A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models","created":"2025-09-04","cited_by_count":25,"area":"lr"},{"id":"2504.03151","title":"Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1)","created":"2025-04-04","cited_by_count":23,"area":"lr"},{"id":"2505.24238","title":"MIRAGE: Assessing Hallucination in Multimodal Reasoning Chains of MLLM","created":"2025-05-30","cited_by_count":17,"area":"lr"},{"id":"2510.16062","title":"Can LLMs Correct Themselves? A Benchmark of Self-Correction in LLMs","created":"2025-10-17","cited_by_count":14,"area":"lr"},{"id":"2509.26140","title":"OWL: Geometry-Aware Spatial Reasoning for Audio Large Language Models","created":"2025-09-30","cited_by_count":10,"area":"lr"},{"id":"2503.23219","title":"Aurelia: Test-time Reasoning Distillation in Audio-Visual LLMs","created":"2025-03-29","cited_by_count":9,"area":"lr"},{"id":"2509.17740","title":"WISE: Weak-Supervision-Guided Step-by-Step Explanations for Multimodal LLMs in Image Classification","created":"2025-09-22","cited_by_count":4,"area":"lr"},{"id":"2511.15613","title":"When to Think and When to Look: Uncertainty-Guided Lookback","created":"2025-11-19","cited_by_count":3,"area":"lr"},{"id":"2509.05542","title":"DreamPRM-1.5: Unlocking the Potential of Each Instance for Multimodal Process Reward Model Training","created":"2025-09-05","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":"2511.19557","title":"Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment","created":"2025-11-24","cited_by_count":1,"area":"lr"},{"id":"2512.07203","title":"MMRPT: MultiModal Reinforcement Pre-Training via Masked Vision-Dependent Reasoning","created":"2025-12-08","cited_by_count":1,"area":"lr"},{"id":"2601.22735","title":"MM-THEBench: Do Reasoning MLLMs Think Reasonably?","created":"2026-01-30","cited_by_count":1,"area":"lr"},{"id":"2604.27604","title":"Decoding Scientific Experimental Images: The SPUR Benchmark for Perception, Understanding, and Reasoning","created":"2026-04-30","cited_by_count":1,"area":"lr"},{"id":"2605.11931","title":"Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training","created":"2026-05-12","cited_by_count":1,"area":"lr"},{"id":"2603.04415","title":"Dual Tuning for Reasoning Efficacy-Driven Data Curation in Multimodal LLM Training","created":"2026-02-04","cited_by_count":0,"area":"lr"},{"id":"2603.08291","title":"A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning","created":"2026-03-09","cited_by_count":0,"area":"lr"}],"next_cursor":null}