Kai Zhang

According to our database, Kai Zhang authored at least 39 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.

Xiang Yue, Tianyu Zheng, Yuansheng Ni, Yubo Wang, Kai Zhang, Shengbang Tong, Yuxuan Sun, Botao Yu, Ge Zhang, Huan Sun, Yu Su, Wenhu Chen, Graham Neubig

CoRR, 2024

PathGen-1.6M: 1.6 Million Pathology Image-text Pairs Generation through Multi-agent Collaboration.

Yuxuan Sun, Yunlong Zhang, Yixuan Si, Chenglu Zhu, Zhongyi Shui, Kai Zhang, Jingxiong Li, Xingheng Lyu, Tao Lin, Lin Yang

CoRR, 2024

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun

CoRR, 2024

How Easily do Irrelevant Inputs Skew the Responses of Large Language Models?

Siye Wu, Jian Xie, Jiangjie Chen, Tinghui Zhu, Kai Zhang, Yanghua Xiao

CoRR, 2024

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.

Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W. Huang, Chenghua Lin, Wenhu Chen, Jie Fu

CoRR, 2024

Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning.

Tinghui Zhu, Kai Zhang, Jian Xie, Yu Su

CoRR, 2024

TravelPlanner: A Benchmark for Real-World Planning with Language Agents.

Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su

Proceedings of the Forty-first International Conference on Machine Learning, 2024

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions.

Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts.

Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following.

Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, Hanzi Xu, Yu Su, Wenpeng Yin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ImagenHub: Standardizing the evaluation of conditional image generation models.

Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, Wenwen Zhuang, Wenhu Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

PathMMU: A Massive Multimodal Expert-Level Benchmark for Understanding and Reasoning in Pathology.

Yuxuan Sun, Hao Wu, Chenglu Zhu, Sunyi Zheng, Qizi Chen, Kai Zhang, Yunlong Zhang, Dan Wan, Xiaoxiao Lan, Mengyue Zheng, Jingxiong Li, Xinheng Lyu, Tao Lin, Lin Yang

Proceedings of the Computer Vision - ECCV 2024, 2024

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

Xiang Yue, Yuansheng Ni, Tianyu Zheng, Kai Zhang, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.

Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology.

Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Lin Sun, Zhongyi Shui, Yunlong Zhang, Honglin Li, Lin Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

UMIE: Unified Multimodal Information Extraction with Instruction Tuning.

Lin Sun, Kai Zhang, Qingyuan Li, Renze Lou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle.

Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu

IEEE Trans. Knowl. Data Eng., March, 2023

Multimodal Question Answering for Unified Information Extraction.

Yuxuan Sun, Kai Zhang, Yu Su

CoRR, 2023

PathAsst: Redefining Pathology through Generative Foundation AI Assistant for Pathology.

Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Zhongyi Shui, Xiaoxuan Yu, Yizhi Zhao, Honglin Li, Yunlong Zhang, Ruojia Zhao, Xinheng Lyu, Lin Yang

CoRR, 2023

Adaptive Chameleon or Stubborn Sloth: Unraveling the Behavior of Large Language Models in Knowledge Clashes.

Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su

CoRR, 2023

Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning.

Renze Lou, Kai Zhang, Wenpeng Yin

CoRR, 2023

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval.

Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang

Proceedings of the ACM Web Conference 2023, 2023

MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing.

Kai Zhang, Lingbo Mo, Wenhu Chen, Huan Sun, Yu Su

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

UnifieR: A Unified Retriever for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Automatic Evaluation of Attribution by Large Language Models.

Xiang Yue, Boshi Wang, Ziru Chen, Kai Zhang, Yu Su, Huan Sun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors.

Kai Zhang, Bernal Jimenez Gutierrez, Yu Su

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

UnifieR: A Unified Retriever for Large-Scale Retrieval.

Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang

CoRR, 2022

Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract).

Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Open Hierarchical Relation Extraction.

Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving NER in Social Media via Entity Type-Compatible Unknown Word Substitution.

Jian Xie, Kai Zhang, Lin Sun, Yindu Su, Chenxiang Xu

Proceedings of the IEEE International Conference on Acoustics, 2021

More: A Metric Learning Based Framework for Open-Domain Relation Extraction.

Yutong Wang, Renze Lou, Kai Zhang, Mao Yan Chen, Yujiu Yang

Proceedings of the IEEE International Conference on Acoustics, 2021

GradTS: A Gradient-Based Automatic Auxiliary Task Selection Method Based on Transformer Networks.

Weicheng Ma, Renze Lou, Kai Zhang, Lili Wang, Soroush Vosoughi

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks.

Weicheng Ma, Kai Zhang, Renze Lou, Lili Wang, Soroush Vosoughi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Adversarial Language Games for Advanced Natural Language Intelligence.

Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER.

Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su, Fangsheng Weng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ETIP: a lengthy nested NER problem for Chinese insurance policy analysis.

Lin Sun, Kai Zhang, Yuxuan Sun, Fangsheng Weng, Jianwei Zhang

Pattern Anal. Appl., 2020

2019

Multilayer ToI Detection Approach for Nested NER.

Lin Sun, Fule Ji, Kai Zhang, Chi Wang

IEEE Access, 2019

TOI-CNN: a Solution of Information Extraction on Chinese Insurance Policy.

Lin Sun, Kai Zhang, Fule Ji, Zhenhua Yang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A TOI based CNN with Location Regression for Insurance Contract Analysis.

Kai Zhang, Lin Sun, Fule Ji

Proceedings of the International Joint Conference on Neural Networks, 2019