An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter. - Zhiyuan Zeng 004; Deyi Xiong (ACL/IJCNLP (2), 2021)

Unsupervised and few-shot parsing from pretrained language models. - Zhiyuan Zeng 004; Deyi Xiong (Artif. Intell., 2022)

SCoMoE: Efficient Mixtures of Experts with Structured Communication. - Zhiyuan Zeng 004; Deyi Xiong (ICLR, 2023)

Unsupervised and Few-Shot Parsing from Pretrained Language Models (Extended Abstract). - Zhiyuan Zeng 004; Deyi Xiong (IJCAI, 2023)

Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Xiaonan Li; Junqi Dai; Qinyuan Cheng; Xuanjing Huang 001; Xipeng Qiu (ACL (1), 2024)

Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Xiaonan Li; Tianxiang Sun; Cheng Chang; Qinyuan Cheng; Ding Wang; Xiaofeng Mou; Xipeng Qiu; Xuanjing Huang 001 (LREC/COLING, 2024)

Explicit Memory Learning with Expectation Maximization. - Zhangyue Yin; Qiushi Sun; Qipeng Guo; Zhiyuan Zeng 004; Qinyuan Cheng; Xipeng Qiu; Xuanjing Huang 001 (EMNLP, 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)

Query of CC: Unearthing Large Scale Domain-Specific Knowledge from Public Corpora. - Zhaoye Fei; Yunfan Shao; Linyang Li; Zhiyuan Zeng 004; Hang Yan 001; Xipeng Qiu; Dahua Lin (CoRR, 2024)

WanJuan-CC: A Safe and High-Quality Open-sourced English Webtext Dataset. - Jiantao Qiu; Haijun Lv; Zhenjiang Jin; Rui Wang 119; Wenchang Ning; Jia Yu; ChaoBin Zhang; Zhenxiang Li; Pei Chu; Yuan Qu; Jin Shi; Lindong Lu; et al. (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)

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)

Dynamic and Generalizable Process Reward Modeling. - Zhangyue Yin; Qiushi Sun; Zhiyuan Zeng 004; Qinyuan Cheng; Xipeng Qiu; Xuanjing Huang 001 (ACL (1), 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)