Despite the remarkable progress of Vision-Language Models (VLMs) in adopting "Thinking-with-Images" capabilities, accurately evaluating the authenticity of their reasoning process remains a critical challenge. Existing benchmarks mainly rely on outcome-oriented accuracy, lacking the capability to assess whether models can accurately leverage fine-grained visual cues for multi-step reasoning. To address these limitations, we propose ViEBench, a process-verifiable benchmark designed to evaluate faithful visual reasoning. Comprising 200 multi-scenario high-resolution images with expert-annotated visual evidence, ViEBench uniquely categorizes tasks by difficulty into perception and reasoning dimensions, where reasoning tasks require utilizing localized visual details with prior knowledge. To establish comprehensive evaluation criteria, we introduce a dual-axis matrix that provides fine-grained metrics through four diagnostic quadrants, enabling transparent diagnosis of model behavior across varying task complexities. Our experiments yield several interesting observations: (1) VLMs can sometimes produce correct final answers despite grounding on irrelevant regions, and (2) they may successfully locate the correct evidence but still fail to utilize it to reach accurate conclusions. Our findings demonstrate that ViEBench can serve as a more explainable and practical benchmark for comprehensively evaluating the effectiveness agentic VLMs. The codes will be released at: https://github.com/Xuchen-Li/ViEBench.
GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking
Queen Mary University of London（伦敦玛丽女王大学）；Samsung AI Centre Cambridge（剑桥三星人工智能中心）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）；Nanyang Technological University（南洋理工大学）
Purdue University（普渡大学）；University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）；University of California Los Angeles（加州大学洛杉矶分校）；University of Connecticut（康涅狄格大学）；University of California Berkeley（加州大学伯克利分校）
Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs
School of Computing, University of Georgia（佐治亚大学计算机学院）；Department of Computer Science and Engineering, University of Texas, Arlington（德克萨斯大学阿灵顿分校计算机科学与工程系）；Massachusetts General Hospital, Harvard Medical School（麻省总医院哈佛医学院）；Department of Biomedical Engineering, New Jersey Institute of Technology（新泽西理工学院生物医学工程系）
Ground-R1: Incentivizing Grounded Visual Reasoning via Reinforcement Learning
Mohamed bin Zayed University of Artificial Intelligence（莫扎德·本·扎耶德人工智能大学）；Peking University（北京大学）；University of Science and Technology of China（中国科学技术大学）；Sun Yat-sen University（中山大学）
TIR-Bench: A Comprehensive Benchmark for Agentic Thinking-with-Images Reasoning
Shanghai AI Laboratory（上海人工智能实验室）；University of Southern California（南加州大学）；Emory University（埃默里大学）；Chinese University of Hong Kong（香港中文大学）；Rice University（德克萨斯大学奥斯汀分校）
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models
Tsinghua University（清华大学）；Institute for AI Industry Research (AIR), Tsinghua University（清华大学人工智能产业研究院（AIR））；University of Toronto（多伦多大学）；Zhili College, Tsinghua University（清华大学至理书院）
Chatting with Images for Introspective Visual Thinking
NLPR, MAIS, Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）；University of Chinese Academy of Sciences（中国科学院大学）；Nanjing University（南京大学）
Q-DeepSight: Incentivizing Thinking with Images for Image Quality Assessment and Refinement
Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University（中国教育部多媒体可信感知与高效计算重点实验室，厦门大学）；Peking University（北京大学）；Beijing Institute of Technology（北京理工大学）
UrbanGraphEmbeddings: Learning and Evaluating Spatially Grounded Multimodal Embeddings for Urban Science
National University of Singapore Department of Architecture Singapore；The Chinese University of Hong Kong Dept of Systems Eng. \& Eng. Mgmt. China；Singapore Management University School of Computing \& Info. Systems Singapore；National University of Singapore；Department of Architecture；The Chinese University of Hong Kong；Singapore Management University
