A Very Big Video Reasoning Suite (VBVR)
ICML 2026🤗 Hugging Face #1 Paper of the Month · Feb 2026Hugging Face 当月第一论文 · 2026 年 2 月
arXiv· Website· EvalKit· Data· Benchmark· Leaderboard· Model
I work on video reasoning and the evaluation of vision-language models. I build benchmarks and run large-scale experiments to measure how these models reason about the visual world — and where they fail. 我研究视频推理与视觉语言模型的评测,通过构建基准、做大规模实验,衡量这些模型如何理解和推理视觉世界、又在哪里出错。
I'm also interested in Physical AI, world models, and making AI more trustworthy and interpretable. I'm part of VBVR and Grow AI. 我也关注 Physical AI、世界模型,以及让 AI 更可信、更可解释。我是 VBVR 与 Grow AI 的一员。
* equal contribution · † equal advising · ✉ corresponding author · ✓ accepted * 共同贡献 · † 共同指导 · ✉ 通讯作者 · ✓ 已录用
🤗 Hugging Face #1 Paper of the Month · Feb 2026Hugging Face 当月第一论文 · 2026 年 2 月
arXiv· Website· EvalKit· Data· Benchmark· Leaderboard· Model
🤗 Hugging Face #2 Paper of the Month · March 2026Hugging Face 当月第二论文 · 2026 年 3 月





"True intelligence exists only when a system can generate new structures, coordinate them into reasons, and sustain its identity over time."「真正的智能,只存在于一个系统能够生成新结构、将其协调为理由、并在时间中维持其同一性之时。」