ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. - Fanchao Qi; Yangyi Chen; Mukai Li; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2020)

Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger. - Fanchao Qi; Mukai Li; Yangyi Chen; Zhengyan Zhang; Zhiyuan Liu 001; Yasheng Wang; Maosong Sun 001 (ACL/IJCNLP (1), 2021)

ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. - Fanchao Qi; Yangyi Chen; Mukai Li; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP (1), 2021)

Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer. - Fanchao Qi; Yangyi Chen; Xurui Zhang; Mukai Li; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP (1), 2021)

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. - Yubo Ma; Zehao Wang; Yixin Cao 002; Mukai Li; Meiqi Chen 001; Kun Wang; Jing Shao (ACL (1), 2022)

MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. - Yubo Ma; Zehao Wang; Mukai Li; Yixin Cao 002; Meiqi Chen 001; Xinze Li; Wenqi Sun; Kunquan Deng; Kun Wang; Aixin Sun; Jing Shao (ACL (demo), 2022)

ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. - Meiqi Chen 001; Yixin Cao 002; Kunquan Deng; Mukai Li; Kun Wang; Jing Shao; Yan Zhang 004 (COLING, 2022)

DiffuSeq-v2: Bridging Discrete and Continuous Text Spaces for Accelerated Seq2Seq Diffusion Models. - Shansan Gong; Mukai Li; Jiangtao Feng; Zhiyong Wu 003; Lingpeng Kong (EMNLP (Findings), 2023)

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models. - Shansan Gong; Mukai Li; Jiangtao Feng; Zhiyong Wu 003; Lingpeng Kong (ICLR, 2023)

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark. - Zhenfei Yin; Jiong Wang; Jianjian Cao; Zhelun Shi; Dingning Liu; Mukai Li; Xiaoshui Huang; Zhiyong Wang 001; Lu Sheng; Lei Bai 001; Jing Shao; Wanli Ouyang (NeurIPS, 2023)

In-Context Learning with Many Demonstration Examples. - Mukai Li; Shansan Gong; Jiangtao Feng; Yiheng Xu; Jun Zhang; Zhiyong Wu 003; Lingpeng Kong (CoRR, 2023)

M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. - Lei Li 039; Yuwei Yin; Shicheng Li; Liang Chen 024; Peiyi Wang; Shuhuai Ren; Mukai Li; Yazheng Yang; Jingjing Xu 001; Xu Sun 001; Lingpeng Kong; Qi Liu 049 (CoRR, 2023)

L-Eval: Instituting Standardized Evaluation for Long Context Language Models. - Chenxin An; Shansan Gong; Ming Zhong 005; Mukai Li; Jun Zhang 003; Lingpeng Kong; Xipeng Qiu (CoRR, 2023)

To be or not to be? an exploration of continuously controllable prompt engineering. - Yuhan Sun; Mukai Li; Yixin Cao 002; Kun Wang; Wenxiao Wang 001; Xingyu Zeng; Rui Zhao (CoRR, 2023)

Silkie: Preference Distillation for Large Visual Language Models. - Lei Li 039; Zhihui Xie 002; Mukai Li; Shunian Chen; Peiyi Wang; Liang Chen 024; Yazheng Yang; Benyou Wang; Lingpeng Kong (CoRR, 2023)

L-Eval: Instituting Standardized Evaluation for Long Context Language Models. - Chenxin An; Shansan Gong; Ming Zhong 005; Xingjian Zhao; Mukai Li; Jun Zhang 003; Lingpeng Kong; Xipeng Qiu (ACL (1), 2024)

Red Teaming Visual Language Models. - Mukai Li; Lei Li 039; Yuwei Yin; Masood Ahmed; Zhenguang Liu; Qi Liu 049 (ACL (Findings), 2024)

VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. - Lei Li 039; Zhihui Xie 002; Mukai Li; Shunian Chen; Peiyi Wang; Liang Chen 024; Yazheng Yang; Benyou Wang; Lingpeng Kong; Qi Liu 049 (EMNLP, 2024)

GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models. - Mukai Li; Lei Li; Shansan Gong; Qi Liu (CoRR, 2024)

Design Choices for Extending the Context Length of Visual Language Models. - Mukai Li; Lei Li 039; Shansan Gong; Qi Liu 049 (ACL (1), 2025)

Scaling Diffusion Language Models via Adaptation from Autoregressive Models. - Shansan Gong; Shivam Agarwal; Yizhe Zhang 002; Jiacheng Ye; Lin Zheng; Mukai Li; Chenxin An; Peilin Zhao; Wei Bi; Jiawei Han 001; Hao Peng 009; Lingpeng Kong (ICLR, 2025)