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Dongzhan Zhou

ICLR 2026×4AAAI 2026×2KDD 2026×2ACL 2026检索与知识评测与基准多模态推理可解释性
新星分资深
46
一作贡献0
核心/参与50
方向广度19
合作网络12
0 一作 · 9 篇 · ICLR 2026 / AAAI 2026 / KDD 2026 / ACL 2026

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2026 顶会论文

9
作者位次 #27/36ICLR 2026Poster· Applications / Physics

CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics

Weida Wang · Dongchen Huang · Jiatong LI · Tengchao Yang · Ziyang Zheng · Chuyi Peng · Di Zhang · Dong Han · Benteng Chen · Binzhao Luo · Zhiyu Liu · kunling liu · Zhiyuan Gao · Shiqigeng geng · Wei Ma · Jiaming Su · Xin Li · Shuchen Pu · Yuhan Shui · Qianjia Cheng · Zhihao Dou · Dongfei Cui · Changyong He · Jin Zeng · Zeke Xie · Mao Su · Dongzhan Zhou · Yuqiang Li · Wanli Ouyang · Yunqi Cai · Xi Dai · Shufei Zhang · LEI BAI · Jinguang Cheng · Zhong Fang · Hongming Weng

评测与基准OpenReview
作者位次 #2/3ICLR 2026Poster

SketchThinker-R1: Towards Efficient Sketch-Style Reasoning in Large Multimodal Models

RUIYANG ZHANG · Dongzhan Zhou · Zhedong Zheng

推理多模态效率与系统OpenReview
作者位次 #10/10ACL 2026Findings· Findings of ACL

R esearch B ench: Benchmarking LLM s in Scientific Discovery via Inspiration-Based Task Decomposition

Yujie Liu · Zonglin Yang · Tong Xie · Jinjie Ni · Ben Gao · Yuqiang Li · SHIXIANG TANG · Wanli Ouyang · Erik Cambria · Dongzhan Zhou

摘要

Large language models (LLMs) have shown potential in assisting scientific research, yet their ability to discover high-quality research hypotheses remains unexamined due to the lack of a dedicated benchmark. To address this gap, we introduce the first large-scale benchmark for evaluating LLMs on...

评测与基准检索与知识数据与预训练OpenReview 项目页
作者位次 #3/5AAAI 2026Poster· Artificial Intelligence

Mitigating Low-Quality Reasoning in MLLMs: Self-Driven Refined Multimodal CoT with Selective Thinking and Step-wise Visual Enhancement

Chongjun Tu · Peng Ye · Dongzhan Zhou · Tao Chen · Wanli Ouyang

推理多模态OpenReview

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