activity
20232026
most citedWhy Does Sharpness-Aware Minimization Generalize Better Than SGD?

4 citations · 7 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

Thinking with Visual Grounding

Junkai Zhang, Yihe Deng, Kai-Wei Chang +1

Visual thinking should not only sound right; it should show its evidence. While recent vision-language models (VLMs) can produce natural-language reasoning traces, these traces oft…

cs.AI2026

METASYMBO: Multi-Agent Language-Guided Metamaterial Discovery via Symbolic Latent Evolution

Jianpeng Chen, Wangzhi Zhan, Dongqi Fu +5

Metamaterial discovery seeks microstructured materials whose geometry induces targeted mechanical behavior. Existing inverse-design methods can efficiently generate candidates, but…

cs.AI2025

MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science

Junkai Zhang, Jingru Gan, Xiaoxuan Wang +8

Large Language Models have shown strong scientific reasoning ability, but their performance on materials science problems remains less studied. To fill this gap, we introduce MatSc…

cs.AI2025

Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics

Lianhao Zhou, Hongyi Ling, Cong Fu +14

Computing has long served as a cornerstone of scientific discovery. Recently, a paradigm shift has emerged with the rise of large language models (LLMs), introducing autonomous sys…

cs.AI2024

MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design

Jingyuan Qi, Zian Jia, Minqian Liu +15

The discovery of novel mechanical metamaterials, whose properties are dominated by their engineered structures rather than chemical composition, is a knowledge-intensive and resour…