Parallel Decoders Guided Lexically Constrained Response Generation. - Daixuan Cheng; Haifeng Sun 001; Qi Qi 001; Jingyu Wang 001; Yan Qi (IEEE BigData, 2021)

Spatial-aware stacked regression network for real-time 3D hand pose estimation. - Pengfei Ren 001; Haifeng Sun 001; Weiting Huang; Jiachang Hao; Daixuan Cheng; Qi Qi 001; Jingyu Wang 001; Jianxin Liao (Neurocomputing, 2021)

Pattern and content controlled response generation. - Haifeng Sun 001; Daixuan Cheng; Jingyu Wang 001; Qi Qi 001; Jianxin Liao (Inf. Process. Manag., 2021)

Snapshot-Guided Domain Adaptation for ELECTRA. - Daixuan Cheng; Shaohan Huang; Jianfeng Liu; Yuefeng Zhan; Hao Sun 015; Furu Wei; Denvy Deng; Qi Zhang 066 (EMNLP (Findings), 2022)

How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data? - Huazheng Wang; Daixuan Cheng; Haifeng Sun 001; Jingyu Wang 001; Qi Qi 001; Jianxin Liao; Jing Wang 039; Cong Liu (ECAI, 2023)

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation. - Daixuan Cheng; Shaohan Huang; Junyu Bi; Yuefeng Zhan; Jianfeng Liu; Yujing Wang; Hao Sun 015; Furu Wei; Weiwei Deng; Qi Zhang 066 (EMNLP, 2023)

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching. - Junyu Bi; Daixuan Cheng; Ping Yao; Bochen Pang; Yuefeng Zhan; Chuanguang Yang; Yujing Wang; Hao Sun 015; Weiwei Deng; Qi Zhang 066 (ICCV, 2023)

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation. - Daixuan Cheng; Shaohan Huang; Junyu Bi; Yuefeng Zhan; Jianfeng Liu; Yujing Wang; Hao Sun 015; Furu Wei; Denvy Deng; Qi Zhang 066 (CoRR, 2023)

Instruction Pre-Training: Language Models are Supervised Multitask Learners. - Daixuan Cheng; Yuxian Gu; Shaohan Huang; Junyu Bi; Minlie Huang; Furu Wei (EMNLP, 2024)

Adapting Large Language Models via Reading Comprehension. - Daixuan Cheng; Shaohan Huang; Furu Wei (ICLR, 2024)

MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning. - Huazheng Wang; Jinming Wu; Haifeng Sun 001; Zixuan Xia; Daixuan Cheng; Jingyu Wang 001; Qi Qi 001; Jianxin Liao (NAACL-HLT, 2024)

FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models. - Wanyi Ning; Jingyu Wang 001; Qi Qi 001; Mengde Zhu; Haifeng Sun 001; Daixuan Cheng; Jianxin Liao; Ce Zhang (NeurIPS, 2024)

On Domain-Specific Post-Training for Multimodal Large Language Models. - Daixuan Cheng; Shaohan Huang; Ziyu Zhu; Xintong Zhang; Wayne Xin Zhao; Zhongzhi Luan; Bo Dai 026; Zhenliang Zhang (CoRR, 2024)

How to Synthesize Text Data without Model Collapse? - Xuekai Zhu; Daixuan Cheng; Hengli Li; Kaiyan Zhang; Ermo Hua; Xingtai Lv; Ning Ding 002; Zhouhan Lin; Zilong Zheng; Bowen Zhou 002 (CoRR, 2024)

An Empirical Study on Eliciting and Improving R1-like Reasoning Models. - Zhipeng Chen 001; Yingqian Min; Beichen Zhang; Jie Chen 007; Jinhao Jiang; Daixuan Cheng; Wayne Xin Zhao; Zheng Liu 011; Xu Miao; Yang Lu; Lei Fang; Zhongyuan Wang 006; et al. (CoRR, 2025)

Reasoning with Exploration: An Entropy Perspective. - Daixuan Cheng; Shaohan Huang; Xuekai Zhu; Bo Dai 026; Wayne Xin Zhao; Zhenliang Zhang; Furu Wei (CoRR, 2025)

From Trial-and-Error to Improvement: A Systematic Analysis of LLM Exploration Mechanisms in RLVR. - Jia Deng; Jie Chen 007; Zhipeng Chen 001; Daixuan Cheng; Fei Bai; Beichen Zhang; Yinqian Min; Yanzipeng Gao; Wayne Xin Zhao; Ji-Rong Wen (CoRR, 2025)