Longze Chen

According to our database, Longze Chen authored at least 13 papers in 2024.

Collaborative distances:

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

2024

IP-MOT: Instance Prompt Learning for Cross-Domain Multi-Object Tracking.

Run Luo, Zikai Song, Longze Chen, Yunshui Li, Min Yang, Wei Yang

CoRR, 2024

PersonaMath: Enhancing Math Reasoning through Persona-Driven Data Augmentation.

Jing Luo, Run Luo, Longze Chen, Liang Zhu, Chang Ao, Jiaming Li, Yukun Chen, Xin Cheng, Wen Yang, Jiayuan Su, Chengming Li, Min Yang

CoRR, 2024

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends.

Xinghua Zhang, Haiyang Yu, Yongbin Li, Minzheng Wang, Longze Chen, Fei Huang

CoRR, 2024

MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct.

Run Luo, Haonan Zhang, Longze Chen, Ting-En Lin, Xiong Liu, Yuchuan Wu, Min Yang, Minzheng Wang, Pengpeng Zeng, Lianli Gao, Heng Tao Shen, Yunshui Li, Xiaobo Xia, Fei Huang, Jingkuan Song, Yongbin Li

CoRR, 2024

Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs.

Lei Zhang, Yunshui Li, Jiaming Li, Xiaobo Xia, Jiaxi Yang, Run Luo, Minzheng Wang, Longze Chen, Junhao Liu, Min Yang

CoRR, 2024

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

Minzheng Wang, Longze Chen, Cheng Fu, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

CoRR, 2024

Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models.

Longze Chen, Ziqiang Liu, Wanwei He, Yunshui Li, Run Luo, Min Yang

CoRR, 2024

DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception.

Run Luo, Yunshui Li, Longze Chen, Wanwei He, Ting-En Lin, Ziqiang Liu, Lei Zhang, Zikai Song, Xiaobo Xia, Tongliang Liu, Min Yang, Binyuan Hui

CoRR, 2024

DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment.

Liang Zhu, Feiteng Fang, Yuelin Bai, Longze Chen, Zhexiang Zhang, Minghuan Tan, Min Yang

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

Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA.

Minzheng Wang, Longze Chen, Fu Cheng, Shengyi Liao, Xinghua Zhang, Bingli Wu, Haiyang Yu, Nan Xu, Lei Zhang, Run Luo, Yunshui Li, Min Yang, Fei Huang, Yongbin Li

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

Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models.

Jiaming Li, Lei Zhang, Yunshui Li, Ziqiang Liu, Yuelin Bai, Run Luo, Longze Chen, Min Yang

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

Marathon: A Race Through the Realm of Long Context with Large Language Models.

Lei Zhang, Yunshui Li, Ziqiang Liu, Jiaxi Yang, Junhao Liu, Longze Chen, Run Luo, Min Yang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models.

Longze Chen, Ziqiang Liu, Wanwei He, Yinhe Zheng, Hao Sun, Yunshui Li, Run Luo, Min Yang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024