A Uniform Construction of New Exact Travelling Wave Solutions and its Applications. - Binlu Feng; Yunhua Zhou (NCM, 2009)

Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. - Tao Gui; Peng Liu; Qi Zhang 001; Liang Zhu; Minlong Peng; Yunhua Zhou; Xuanjing Huang 001 (SIGIR, 2019)

Early Exiting with Ensemble Internal Classifiers. - Tianxiang Sun; Yunhua Zhou; Xiangyang Liu; Xinyu Zhang 019; Hao Jiang 022; Zhao Cao; Xuanjing Huang 001; Xipeng Qiu (CoRR, 2021)

KNN-Contrastive Learning for Out-of-Domain Intent Classification. - Yunhua Zhou; Peiju Liu; Xipeng Qiu (ACL (1), 2022)

BBTv2: Towards a Gradient-Free Future with Large Language Models. - Tianxiang Sun; Zhengfu He; Hong Qian; Yunhua Zhou; Xuanjing Huang 001; Xipeng Qiu (EMNLP, 2022)

What Dense Graph Do You Need for Self-Attention? - Yuxin Wang 005; Chu-Tak Lee; Qipeng Guo; Zhangyue Yin; Yunhua Zhou; Xuanjing Huang 001; Xipeng Qiu (ICML, 2022)

What Dense Graph Do You Need for Self-Attention? - Yuxing Wang; Chu-Tak Lee; Qipeng Guo; Zhangyue Yin; Yunhua Zhou; Xuanjing Huang 001; Xipeng Qiu (CoRR, 2022)

An Open-World Lottery Ticket for Out-of-Domain Intent Classification. - Yunhua Zhou; Peiju Liu; Yuxin Wang 005; Xipeng Qiu (CoRR, 2022)

Discovering New Intents Using Latent Variables. - Yunhua Zhou; Peiju Liu; Yuxin Wang 005; Xipeng Qiu (CoRR, 2022)

UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction. - Hang Yan 001; Yu Sun 031; Xiaonan Li; Yunhua Zhou; Xuanjing Huang 001; Xipeng Qiu (ACL (1), 2023)

Towards Open Environment Intent Prediction. - Yunhua Zhou; Jiawei Hong; Xipeng Qiu (ACL (Findings), 2023)

A Probabilistic Framework for Discovering New Intents. - Yunhua Zhou; Guofeng Quan; Xipeng Qiu (ACL (1), 2023)

Two Birds One Stone: Dynamic Ensemble for OOD Intent Classification. - Yunhua Zhou; Jianqiang Yang; Pengyu Wang 006; Xipeng Qiu (ACL (1), 2023)

Graph Structure Learning via Lottery Hypothesis at Scale. - Yuxin Wang 005; Xiannian Hu; Jiaqing Xie; Zhangyue Yin; Yunhua Zhou; Xipeng Qiu; Xuanjing Huang 001 (ACML, 2023)

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. - Xinghao Wang; Junliang He; Pengyu Wang 006; Yunhua Zhou; Tianxiang Sun; Xipeng Qiu (AAAI, 2024)

Code Needs Comments: Enhancing Code LLMs with Comment Augmentation. - Demin Song; Honglin Guo; Yunhua Zhou; Shuhao Xing; Yudong Wang 002; Zifan Song; Wenwei Zhang; Qipeng Guo; Hang Yan 001; Xipeng Qiu; Dahua Lin (ACL (Findings), 2024)

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. - Jun Zhan; Junqi Dai; Jiasheng Ye; Yunhua Zhou; Dong Zhang; Zhigeng Liu; Xin Zhang; Ruibin Yuan; Ge Zhang 009; Linyang Li; Hang Yan 001; Jie Fu 001; et al. (ACL (1), 2024)

The Open-World Lottery Ticket Hypothesis for OOD Intent Classification. - Yunhua Zhou; Pengyu Wang 006; Peiju Liu; Yuxin Wang 005; Xipeng Qiu (LREC/COLING, 2024)

Turn Waste into Worth: Rectifying Top-k Router of MoE. - Zhiyuan Zeng 004; Qipeng Guo; Zhaoye Fei; Zhangyue Yin; Yunhua Zhou; Linyang Li; Tianxiang Sun; Hang Yan 001; Dahua Lin; Xipeng Qiu (EMNLP, 2024)

Memorize Step by Step: Efficient Long-Context Prefilling with Incremental Memory and Decremental Chunk. - Zhiyuan Zeng 004; Qipeng Guo; Xiaoran Liu; Zhangyue Yin; Wentao Shu; Mianqiu Huang; Bo Wang 084; Yunhua Zhou; Linlin Li 001; Qun Liu 001; Xipeng Qiu (EMNLP, 2024)

Data-freeWeight Compress and Denoise for Large Language Models. - Runyu Peng; Yunhua Zhou; Qipeng Guo; Yang Gao 042; Hang Yan 001; Xipeng Qiu; Dahua Lin (CoRR, 2024)

Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders. - Zhengfu He; Wentao Shu; Xuyang Ge; Lingjie Chen; Junxuan Wang; Yunhua Zhou; Frances Liu; Qipeng Guo; Xuanjing Huang 001; Zuxuan Wu; Yu-Gang Jiang 001; Xipeng Qiu (CoRR, 2024)

BitStack: Fine-Grained Size Control for Compressed Large Language Models in Variable Memory Environments. - Xinghao Wang; Pengyu Wang 006; Bo Wang 084; Dong Zhang; Yunhua Zhou; Xipeng Qiu (CoRR, 2024)

GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs? - Zhikai Lei; Tianyi Liang; Hanglei Hu; Jin Zhang; Yunhua Zhou; Yunfan Shao; Linyang Li; Chenchui Li; Changbo Wang; Hang Yan 001; Qipeng Guo (CoRR, 2024)

Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective. - Zhiyuan Zeng 004; Qinyuan Cheng; Zhangyue Yin; Bo Wang 084; Shimin Li; Yunhua Zhou; Qipeng Guo; Xuanjing Huang 001; Xipeng Qiu (CoRR, 2024)

MOSS: An Open Conversational Large Language Model. - Tianxiang Sun; Xiaotian Zhang; Zhengfu He; Peng Li; Qinyuan Cheng; Xiangyang Liu; Hang Yan 001; Yunfan Shao; Qiong Tang; Shiduo Zhang; Xingjian Zhao; Ke Chen; et al. (Mach. Intell. Res., 2024)

Correction to: MOSS: An Open Conversational Large Language Model. - Tianxiang Sun; Xiaotian Zhang; Zhengfu He; Peng Li; Qinyuan Cheng; Xiangyang Liu; Hang Yan 001; Yunfan Shao; Qiong Tang; Shiduo Zhang; Xingjian Zhao; Ke Chen; et al. (Mach. Intell. Res., 2024)

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities? - Zhiyuan Zeng 004; Qinyuan Cheng; Zhangyue Yin; Yunhua Zhou; Xipeng Qiu (ACL (1), 2025)

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law. - Qiming Ge; Shuhao Xing; Songyang Gao; Yunhua Zhou; Yicheng Zou; Songyang Zhang; Zhi Chen 006; Hang Yan 001; Qi Zhang 001; Qipeng Guo; Kai Chen 026 (ACL (1), 2025)

BitStack: Any-Size Compression of Large Language Models in Variable Memory Environments. - Xinghao Wang; Pengyu Wang 006; Bo Wang 084; Dong Zhang; Yunhua Zhou; Xipeng Qiu (ICLR, 2025)

Towards Universality: Studying Mechanistic Similarity Across Language Model Architectures. - Junxuan Wang; Xuyang Ge; Wentao Shu; Qiong Tang; Yunhua Zhou; Zhengfu He; Xipeng Qiu (ICLR, 2025)

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance. - Jiasheng Ye; Peiju Liu; Tianxiang Sun; Jun Zhan; Yunhua Zhou; Xipeng Qiu (ICLR, 2025)

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections. - Bo Wang 084; Qinyuan Cheng; Runyu Peng; Rong Bao; Peiji Li; Qipeng Guo; Linyang Li; Zhiyuan Zeng 004; Yunhua Zhou; Xipeng Qiu (CoRR, 2025)

Pre-Trained Policy Discriminators are General Reward Models. - Shihan Dou; Shichun Liu; Yuming Yang; Yicheng Zou; Yunhua Zhou; Shuhao Xing; Chenhao Huang; Qiming Ge; Demin Song; Haijun Lv; Songyang Gao; Chengqi Lv; et al. (CoRR, 2025)