paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
ZW

Zhenhe Wu

ACL 2026×2ICLR 2026评测与基准多模态多语言与语言学检索与知识强化学习与后训练
新星分新星
69
一作贡献30
核心/参与10
方向广度13
合作网络12
1 一作 · 3 篇 · ACL 2026 / ICLR 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

3
作者位次 #15/42ICLR 2026Poster

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

Caorui Li · Yu Chen · Yiyan Ji · Jin Xu · Zhenyu Cui · Shihao Li · Yuanxing Zhang · Zhenghao Song · Dingling Zhang · Ying He · Haoxiang Liu · Yuxuan Wang · Qiufeng Wang · Jiafu Tang · Zhenhe Wu · Jiehui Luo · Zhiyu Pan · Weihao Xie · Chenchen Zhang · Zhaohui Wang · Jiayi Tian · Yanghai Wang · Zhe Cao · Minxin Dai · Ke Wang · Runzhe Wen · Yinghao Ma · Yaning Pan · Sungkyun Chang · Termeh Taheri · Haiwen Xia · Christos Plachouras · Emmanouil Benetos · Yizhi Li · Ge Zhang · Jian Yang · Tianhao Peng · zili wang · Minghao Liu · Junran Peng · Zhaoxiang Zhang · JIAHENG LIU

多模态评测与基准OpenReview
作者位次 #3/14ACL 2026Findings· Findings of ACL

M 3 TQA : Massively Multilingual Multitask Table Question Answering

Daixin Shu · Jian Yang · Zhenhe Wu · Xianjie Wu · Xianfu Cheng · Guan Xiangyuan · Yanghai Wang · Pengfei Wu · Tingyang Yang · Hualei Zhu · Wei Zhang · Ge Zhang · JIAHENG LIU · Zhoujun Li

摘要

Tabular data is a fundamental component of real-world information systems. However, existing multilingual table benchmarks suffer from geolinguistic imbalance - overrepresenting certain languages and lacking sufficient scale for rigorous cross-lingual analysis. To address these limitations, we in...

多语言与语言学评测与基准检索与知识OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

T able- R 1: Region-based Reinforcement Learning for Table Understanding

Zhenhe Wu · Jian Yang · Zhongjiang He · Changzai Pan · JIAHENG LIU · Xianjie Wu · Yu Zhao · Shuangyong Song · Yongxiang Li · Zhoujun Li · Xuelong Li

摘要

Tables present unique challenges for language models due to their structured row-column interactions, necessitating specialized approaches for effective comprehension. While large language models (LLMs) have demonstrated potential in table reasoning through prompting and techniques like chain-of-...

强化学习与后训练推理对齐与偏好OpenReview 项目页

常见合作者