Chao Zhang

According to our database, Chao Zhang authored at least 17 papers between 2022 and 2025.

Collaborative distances:

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

2025

Xiangqi-R1: Enhancing Spatial Strategic Reasoning in LLMs for Chinese Chess via Reinforcement Learning.

Yuhao Chen, Shuochen Liu, Yuanjie Lyu, Chao Zhang, Jiayao Shi, Tong Xu

CoRR, July, 2025

NoteLLM-2: Multimodal Large Representation Models for Recommendation.

Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks.

Yuanjie Lyu, Chao Zhang, Yuhao Chen, Yong Chen, Tong Xu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Large language models for generative information extraction: a survey.

Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Yang Wang, Enhong Chen

Frontiers Comput. Sci., December, 2024

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval.

Suyuan Huang, Chao Zhang, Yuanyuan Wu, Haoxin Zhang, Yuan Wang, Maolin Wang, Shaosheng Cao, Tong Xu, Xiangyu Zhao, Zengchang Qin, Yan Gao, Yunhan Bai, Jun Fan, Yao Hu, Enhong Chen

CoRR, 2024

From a Social Cognitive Perspective: Context-aware Visual Social Relationship Recognition.

Shiwei Wu, Chao Zhang, Joya Chen, Tong Xu, Likang Wu, Yao Hu, Enhong Chen

CoRR, 2024

NoteLLM-2: Multimodal Large Representation Models for Recommendation.

Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Yan Gao, Yao Hu, Enhong Chen

CoRR, 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.

Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Di Wu, Enhong Chen

CoRR, 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.

Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Enhong Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation.

Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Beyond the Limits of Predictability in Human Mobility Prediction: Context-Transition Predictability.

Chao Zhang, Kai Zhao, Meng Chen

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

Large Language Models for Generative Information Extraction: A Survey.

Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen

CoRR, 2023

A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference.

Chao Zhang, Shiwei Wu, Sirui Zhao, Tong Xu, Enhong Chen

CoRR, 2023

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.

Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

PR-LTTE: Link travel time estimation based on path recovery from large-scale incomplete trip data.

Tianao Sun, Kai Zhao, Chao Zhang, Meng Chen, Xiaohui Yu

Inf. Sci., 2022

UA-FedRec: Untargeted Attack on Federated News Recommendation.

Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie

CoRR, 2022

MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation.

Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022