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Yu Zhao

ICML 2026×3可解释性理论与学习动力学推理智能体与工具多模态

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71

一作贡献30

核心/参与17

方向广度10

合作网络12

1 一作 · 3 篇 · ICML 2026

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2026 顶会论文

3

作者位次 #5/9ICML 2026Poster· Deep Learning / Generative Models and Autoencoders

Fast and Expressive Multi-Byte Prediction with Probabilistic Circuits

Andreas Grivas · Lorenzo Loconte · Emile van Krieken · Piotr Nawrot · Yu Zhao · Euan Wielewski · Pasquale Minervini · Edoardo Ponti · Antonio Vergari

可解释性理论与学习动力学OpenReview

一作ICML 2026Poster· Deep Learning / Large Language Models

Learning GUI Grounding with Spatial Reasoning from Visual Feedback

Yu Zhao · Wei-Ning Chen · Huseyin Inan · Samuel Kessler · Lu Wang · Lukas Wutschitz · Fangkai Yang · Chaoyun Zhang · Pasquale Minervini · Saravanakumar Rajmohan · Robert A Sim

推理智能体与工具多模态OpenReview

作者位次 #2/6ICML 2026Poster· Deep Learning / Large Language Models

Can I Have Your Order? Monte-Carlo Tree Search for Slot Filling Ordering in Diffusion Language Models

Joshua Ong · Yu Zhao · Mihaela C. Stoian · Wenda Li · Shay Cohen · Eleonora Giunchiglia

检索与知识长上下文与架构OpenReview

常见合作者

PMPasquale Minervini×2 AGAndreas Grivas LLLorenzo Loconte EKEmile van Krieken PNPiotr Nawrot EWEuan Wielewski EPEdoardo Ponti AVAntonio Vergari WCWei-Ning Chen HIHuseyin Inan SKSamuel Kessler LWLu Wang