Latent Prompt Tuning for Text Summarization. - Yubo Zhang; Xingxing Zhang 002; Xun Wang 012; Si-qing Chen; Furu Wei (CoRR, 2022)

Extensible Prompts for Language Models. - Tao Ge 001; Jing Hu 001; Li Dong 004; Shaoguang Mao; Yan Xia 005; Xun Wang 012; Si-Qing Chen; Furu Wei (CoRR, 2022)

Momentum Calibration for Text Generation. - Xingxing Zhang 002; Yiran Liu; Xun Wang 012; Pengcheng He; Yang Yu; Si-Qing Chen; Wayne Xiong; Furu Wei (CoRR, 2022)

Pay Attention to Your Tone: Introducing a New Dataset for Polite Language Rewrite. - Xun Wang 012; Tao Ge 001; Allen Mao; Yuki Li; Furu Wei; Si-Qing Chen (CoRR, 2022)

Smart Word Suggestions for Writing Assistance. - Chenshuo Wang; Shaoguang Mao; Tao Ge 001; Wenshan Wu; Xun Wang 012; Yan Xia 005; Jonathan Tien; Dongyan Zhao 001 (ACL (Findings), 2023)

Extensible Prompts for Language Models on Zero-shot Language Style Customization. - Tao Ge 001; Jing Hu 001; Li Dong 004; Shaoguang Mao; Yan Xia 005; Xun Wang 012; Si-Qing Chen; Furu Wei (NeurIPS, 2023)

Interactive Editing for Text Summarization. - Yujia Xie; Xun Wang 012; Si-Qing Chen; Wayne Xiong; Pengcheng He (CoRR, 2023)

In-context Autoencoder for Context Compression in a Large Language Model. - Tao Ge 001; Jing Hu 001; Xun Wang 012; Si-Qing Chen; Furu Wei (CoRR, 2023)

ALYMPICS: Language Agents Meet Game Theory. - Shaoguang Mao; Yuzhe Cai; Yan Xia 005; Wenshan Wu; Xun Wang 012; Fengyi Wang; Tao Ge 001; Furu Wei (CoRR, 2023)

On Meta-Prompting. - Adrian de Wynter; Xun Wang 012; Qilong Gu; Si-Qing Chen (CoRR, 2023)

An evaluation on large language model outputs: Discourse and memorization. - Adrian de Wynter; Xun Wang 012; Alex Sokolov; Qilong Gu; Si-Qing Chen (Nat. Lang. Process. J., 2023)

SCALE: Synergized Collaboration of Asymmetric Language Translation Engines. - Xin Cheng 002; Xun Wang 012; Tao Ge 001; Si-Qing Chen; Furu Wei; Dongyan Zhao 001; Rui Yan 001 (ACL (Findings), 2024)

In-context Autoencoder for Context Compression in a Large Language Model. - Tao Ge 001; Jing Hu 001; Lei Wang; Xun Wang 012; Si-Qing Chen; Furu Wei (ICLR, 2024)

xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token. - Xin Cheng 002; Xun Wang 012; Xingxing Zhang 002; Tao Ge 001; Si-Qing Chen; Furu Wei; Huishuai Zhang; Dongyan Zhao 001 (NeurIPS, 2024)

K-Level Reasoning with Large Language Models. - Yadong Zhang; Shaoguang Mao; Tao Ge 001; Xun Wang 012; Yan Xia 005; Man Lan; Furu Wei (CoRR, 2024)

LLM as a Mastermind: A Survey of Strategic Reasoning with Large Language Models. - Yadong Zhang; Shaoguang Mao; Tao Ge 001; Xun Wang 012; Adrian de Wynter; Yan Xia 005; Wenshan Wu; Ting Song; Man Lan; Furu Wei (CoRR, 2024)

Leveraging 2D Information for Long-term Time Series Forecasting with Vanilla Transformers. - Xin Cheng 002; Xiuying Chen; Shuqi Li; Di Luo; Xun Wang 012; Dongyan Zhao 001; Rui Yan 001 (CoRR, 2024)

Developing a Reliable, General-Purpose Hallucination Detection and Mitigation Service: Insights and Lessons Learned. - Song Wang; Xun Wang 012; Jie Mei; Yujia Xie; Sean Muarray; Zhang Li; Lingfeng Wu; Si-Qing Chen; Wayne Xiong (CoRR, 2024)

Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks. - Fangru Lin; Shaoguang Mao; Emanuele La Malfa; Valentin Hofmann; Adrian de Wynter; Xun Wang 012; Si-Qing Chen; Michael J. Wooldridge; Janet B. Pierrehumbert; Furu Wei (ACL (1), 2025)

ALYMPICS: LLM Agents Meet Game Theory. - Shaoguang Mao; Yuzhe Cai; Yan Xia 005; Wenshan Wu; Xun Wang 012; Fengyi Wang; Qiang Guan; Tao Ge 001; Furu Wei (COLING, 2025)

K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning. - Yadong Zhang; Shaoguang Mao; Tao Ge 001; Xun Wang 012; Yan Xia 005; Man Lan; Furu Wei (NAACL (Long Papers), 2025)

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. - Haoran Li; Qingxiu Dong; Zhengyang Tang; Chaojun Wang; Xingxing Zhang 002; Haoyang Huang; Shaohan Huang; Xiaolong Huang; Zeqiang Huang; Dongdong Zhang 001; Yuxian Gu; Xin Cheng 002; et al. (Trans. Mach. Learn. Res., 2025)

WildLong: Synthesizing Realistic Long-Context Instruction Data at Scale. - Jiaxi Li 001; Xingxing Zhang 002; Xun Wang 012; Xiaolong Huang; Li Dong 004; Liang Wang; Si-Qing Chen; Wei Lu 011; Furu Wei (CoRR, 2025)