Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation. - Mingkai Deng; Bowen Tan; Zhengzhong Liu 001; Eric P. Xing; Zhiting Hu (EMNLP (1), 2021)

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. - Mingkai Deng; Jianyu Wang; Cheng-Ping Hsieh; Yihan Wang; Han Guo; Tianmin Shu; Meng Song; Eric P. Xing; Zhiting Hu (EMNLP, 2022)

Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. - Sukmin Yun; Haokun Lin; Rusiru Thushara; Mohammad Qazim Bhat; Yongxin Wang; Zutao Jiang; Mingkai Deng; Jinhong Wang; Tianhua Tao; Junbo Li; Haonan Li 002; Preslav Nakov; et al. (NeurIPS, 2024)

LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch. - Zhengzhong Liu 001; Bowen Tan; Hongyi Wang 001; Willie Neiswanger; Tianhua Tao; Haonan Li 002; Fajri Koto; Yuqi Wang; Suqi Sun; Omkar Pangarkar; Richard Fan; Yi Gu 002; et al. (CoRR, 2025)

Critiques of World Models. - Eric Xing; Mingkai Deng; Jinyu Hou; Zhiting Hu (CoRR, 2025)

SimuRA: Towards General Goal-Oriented Agent via Simulative Reasoning Architecture with LLM-Based World Model. - Mingkai Deng; Jinyu Hou; Yilin Shen; Hongxia Jin; Graham Neubig; Zhiting Hu; Eric P. Xing (CoRR, 2025)