Yunhua Zhou

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

Top Venues

Publications

Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. AAAI (2024)
Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. CoRR (2024)
Yunhua Zhou, Pengyu Wang, Peiju Liu, Yuxin Wang, Xipeng Qiu
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification. LREC/COLING (2024)
Zhiyuan Zeng, Qipeng Guo, Zhaoye Fei, Zhangyue Yin, Yunhua Zhou, Linyang Li, Tianxiang Sun, Hang Yan, Dahua Lin, Xipeng Qiu
Turn Waste into Worth: Rectifying Top-k Router of MoE. CoRR (2024)
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. ACL (Findings) (2024)
Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yugang Jiang, Xipeng Qiu
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. CoRR (2024)
Demin Song, Honglin Guo, Yunhua Zhou, Shuhao Xing, Yudong Wang, Zifan Song, Wenwei Zhang, Qipeng Guo, Hang Yan, Xipeng Qiu, Dahua Lin
Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. CoRR (2024)
Jiasheng Ye, Peiju Liu, Tianxiang Sun, Yunhua Zhou, Jun Zhan, Xipeng Qiu
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance. CoRR (2024)
Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yu-Gang Jiang, Xipeng Qiu
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. ACL (1) (2024)
Runyu Peng, Yunhua Zhou, Qipeng Guo, Yang Gao, Hang Yan, Xipeng Qiu, Dahua Lin
Data-freeWeight Compress and Denoise for Large Language Models. CoRR (2024)
Yunhua Zhou, Guofeng Quan, Xipeng Qiu
A Probabilistic Framework for Discovering New Intents. ACL (1) (2023)
Hang Yan, Yu Sun, Xiaonan Li, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction. ACL (1) (2023)
Yunhua Zhou, Jiawei Hong, Xipeng Qiu
Towards Open Environment Intent Prediction. ACL (Findings) (2023)
Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang
Graph Structure Learning via Lottery Hypothesis at Scale. ACML (2023)
Yunhua Zhou, Jianqiang Yang, Pengyu Wang, Xipeng Qiu
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification. ACL (1) (2023)
Yuxin Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
What Dense Graph Do You Need for Self-Attention? ICML (2022)
Yunhua Zhou, Peiju Liu, Xipeng Qiu
KNN-Contrastive Learning for Out-of-Domain Intent Classification. ACL (1) (2022)
Yuxing Wang, Chu-Tak Lee, Qipeng Guo, Zhangyue Yin, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
What Dense Graph Do You Need for Self-Attention? CoRR (2022)
Yunhua Zhou, Peiju Liu, Yuxin Wang, Xipeng Qiu
An Open-World Lottery Ticket for Out-of-Domain Intent Classification. CoRR (2022)
Yunhua Zhou, Peiju Liu, Yuxin Wang, Xipeng Qiu
Discovering New Intents Using Latent Variables. CoRR (2022)
Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu
BBTv2: Towards a Gradient-Free Future with Large Language Models. EMNLP (2022)
Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
Early Exiting with Ensemble Internal Classifiers. CoRR (2021)
Tao Gui, Peng Liu, Qi Zhang, Liang Zhu, Minlong Peng, Yunhua Zhou, Xuanjing Huang
Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. SIGIR (2019)
Binlu Feng, Yunhua Zhou
A Uniform Construction of New Exact Travelling Wave Solutions and its Applications. NCM (2009)