Publications

(* indicates equal contribution)

2024

• OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models
  Junda Wu*, Xintong Li*, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian McAuley.
  In submission, 2024.
  [Paper] [Code]

• Visual prompting in multimodal large language models: A survey
  Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N Metaxas, Lina Yao, Jingbo Shang, Julian McAuley.
  In submission, 2024.
  [Paper] [Code]

• CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models
  Junda Wu*, Xintong Li*, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian McAuley.
  In submission, 2024.
  [Paper] [Code]

• Open-world Multi-label Text Classification with Extremely Weak Supervision
  Xintong Li, Jinya Jiang, Ria Dharmani, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang.
  Empirical Methods in Natural Language Processing (EMNLP), 2024.
  [Paper] [Code]

2023

• Geometry-aware adaptation for pretrained models
  Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala.
  Neural Information Processing Systems (NeurIPS), 2023.
  [Paper]

2022

• AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels
  Nicholas Roberts*, Xintong Li*, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala.
  Neural Information Processing Systems (NeurIPS), 2022.
  [Paper] [Code]