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Bohan Zeng

CVPR 2026×4ICLR 2026×2ACL 2026KDD 2026多模态评测与基准强化学习与后训练推理数据与预训练
新星分贡献者
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一作贡献0
核心/参与53
方向广度19
合作网络12
0 一作 · 8 篇 · CVPR 2026 / ICLR 2026 / ACL 2026 / KDD 2026

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2026 顶会论文

8
作者位次 #12/25CVPR 2026Poster· Computer Vision & Pattern Recognition

RealUnify: Do Unified Models Truly Benefit from Unification? A Comprehensive Benchmark

Yang Shi · Yuhao Dong · Yue Ding · Yuran Wang · Xuanyu Zhu · Sheng Zhou · Wenting Liu · Haochen Tian · Rundong Wang · Huanqian Wang · Zuyan Liu · Bohan Zeng · Ruizhe Chen · Qixun Wang · Zhuoran Zhang · Xinlong Chen · Chengzhuo Tong · Bozhou Li · Qiang Liu · Haotian Wang · Wenjing Yang · Yuanxing Zhang · Pengfei Wan · Yi-Fan Zhang · Ziwei Liu

多模态评测与基准OpenReview 项目页
作者位次 #6/19ACL 2026Findings· Findings of ACL

M orpho B ench: A Benchmark with Difficulty Adaptive to Model Reasoning

Xukai Wang · Xuanbo Liu · Mingrui Chen · Haitian Zhong · Xuanlin Yang · Bohan Zeng · Jinbo Hu · Hao Liang · Junbo Niu · Xuchen Li · Ruitao Wu · Ruichuan An · Yang Shi · Liu Liu · Qiang Liu · Zhouchen Lin · Xu-yao Zhang · Wentao Zhang · Bin Dong

摘要

With the advancement of powerful large-scale reasoning models, effectively evaluating the reasoning capabilities of these models has become increasingly important. However, existing benchmarks designed to assess the reasoning abilities of large models tend to be limited in scope and lack the flex...

评测与基准推理代码OpenReview 项目页

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