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KH

Kai Han

ICML 2026×4ACL 2026×2KDD 2026多模态评测与基准推理强化学习与后训练对齐与偏好
新星分资深
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核心/参与29
方向广度16
合作网络9
0 一作 · 7 篇 · ICML 2026 / ACL 2026 / KDD 2026

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2026 顶会论文

7
作者位次 #32/33ICML 2026Poster· General Machine Learning / Evaluation

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models

Jonathan Roberts · Mohammad Reza Taesiri · Ansh Sharma · Akash Gupta · Samuel Roberts · Ioana Croitoru · Vlad Bogolin · Jialu Tang · Florian Langer · Vyas Raina · Vatsal Raina · Hanyi Xiong · Vishaal Udandarao · Jingyi Lu · Chen Shiyang · Sam Purkis · Tianshuo Yan · Wenye Lin · Gyungin Shin · Qiaochu Yang · Anh Nguyen · David Atkinson · Alexandru Coca · Mikah Đặng · Sebastian Dziadzio · Jakob D. Kunz · Kaiqu Liang · Alexander Lo · Brian Pulfer · Steven Walton · Charig Yang · Kai Han · Samuel Albanie

多模态评测与基准OpenReview
作者位次 #4/4ICML 2026Poster· Applications / Computer Vision

iVGR: Internalizing Visually Grounded Reasoning for MLLMs with Reinforcement Learning

Changbin Zhang · Yujie Zhong · Qiang Zhang · Kai Han

多模态推理强化学习与后训练OpenReview
作者位次 #2/2ICML 2026Poster· General Machine Learning / Unsupervised and Semi-supervised Learning

PartCo: Part-Level Correspondence Priors Enhance Category Discovery

Fernando Julio Cendra · Kai Han

作者位次 #2/2ICML 2026Poster· Applications / Computer Vision

Geometric Reciprocity: Unlocking Self-Supervision for Stereoscopic Video Generation

Jingyi Lu · Kai Han

多模态OpenReview
作者位次 #8/9ACL 2026Poster· Natural Language Processing

Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models

Jiahuan Zhang · Shunwen Bai · Tianheng Wang · KaiWen Guo · Zijia Song · Hanqing WU · Guozheng Rao · Kai Han · Kaicheng Yu

摘要

Humans naturally possess the spatial reasoning ability to form and manipulate images and structures of objects in space. There is an increasing effort to endow Vision-Language Models (VLMs) with similar spatial reasoning capabilities. However, it remains unclear whether these models truly underst...

多模态评测与基准推理OpenReview 项目页
作者位次 #3/3ACL 2026Findings· Findings of ACL

C ode B ind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook

Zeyu Chen · Jie Li · Kai Han

摘要

Multimodal representation alignment is pivotal for large language models and robotics. Traditional methods are often hindered by cross-modal information discrepancies and data scarcity, leading to suboptimal alignment spaces that overlook modality-unique features. We propose CodeBind, a framework...

多模态对齐与偏好可解释性OpenReview 项目页

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