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Yunhua Zhou
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2020 – today
- 2024
- [c12]Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu:
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. AAAI 2024: 19180-19188 - [c11]Yunhua Zhou, Pengyu Wang, Peiju Liu, Yuxin Wang, Xipeng Qiu:
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification. LREC/COLING 2024: 15988-15999 - [i10]Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu:
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. CoRR abs/2401.13621 (2024) - [i9]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 abs/2402.12226 (2024) - [i8]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 abs/2402.12399 (2024) - [i7]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 abs/2402.13013 (2024) - [i6]Runyu Peng, Yunhua Zhou, Qipeng Guo, Yang Gao, Hang Yan, Xipeng Qiu, Dahua Lin:
Data-freeWeight Compress and Denoise for Large Language Models. CoRR abs/2402.16319 (2024) - [i5]Jiasheng Ye, Peiju Liu, Tianxiang Sun, Yunhua Zhou, Jun Zhan, Xipeng Qiu:
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance. CoRR abs/2403.16952 (2024) - 2023
- [c10]Yunhua Zhou, Jiawei Hong, Xipeng Qiu:
Towards Open Environment Intent Prediction. ACL (Findings) 2023: 2226-2240 - [c9]Yunhua Zhou, Guofeng Quan, Xipeng Qiu:
A Probabilistic Framework for Discovering New Intents. ACL (1) 2023: 3771-3784 - [c8]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: 4096-4122 - [c7]Yunhua Zhou, Jianqiang Yang, Pengyu Wang, Xipeng Qiu:
Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification. ACL (1) 2023: 10659-10673 - [c6]Yuxin Wang, Xiannian Hu, Jiaqing Xie, Zhangyue Yin, Yunhua Zhou, Xipeng Qiu, Xuanjing Huang:
Graph Structure Learning via Lottery Hypothesis at Scale. ACML 2023: 1401-1416 - 2022
- [c5]Yunhua Zhou, Peiju Liu, Xipeng Qiu:
KNN-Contrastive Learning for Out-of-Domain Intent Classification. ACL (1) 2022: 5129-5141 - [c4]Tianxiang Sun, Zhengfu He, Hong Qian, Yunhua Zhou, Xuanjing Huang, Xipeng Qiu:
BBTv2: Towards a Gradient-Free Future with Large Language Models. EMNLP 2022: 3916-3930 - [c3]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: 22752-22768 - [i4]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 abs/2205.14014 (2022) - [i3]Yunhua Zhou, Peiju Liu, Yuxin Wang, Xipeng Qiu:
An Open-World Lottery Ticket for Out-of-Domain Intent Classification. CoRR abs/2210.07071 (2022) - [i2]Yunhua Zhou, Peiju Liu, Yuxin Wang, Xipeng Qiu:
Discovering New Intents Using Latent Variables. CoRR abs/2210.11804 (2022) - 2021
- [i1]Tianxiang Sun
, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Early Exiting with Ensemble Internal Classifiers. CoRR abs/2105.13792 (2021)
2010 – 2019
- 2019
- [c2]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: 535-544
2000 – 2009
- 2009
- [c1]Binlu Feng, Yunhua Zhou:
A Uniform Construction of New Exact Travelling Wave Solutions and its Applications. NCM 2009: 1923-1928
Coauthor Index
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last updated on 2024-08-16 00:39 CEST by the dblp team
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