MIMIC-IT: Multi-Modal In-Context Instruction Tuning. - Bo Li 080; Yuanhan Zhang; Liangyu Chen 005; Jinghao Wang; Fanyi Pu; Jingkang Yang; Chunyuan Li; Ziwei Liu 002 (CoRR, 2023)

OtterHD: A High-Resolution Multi-modality Model. - Bo Li 080; Peiyuan Zhang; Jingkang Yang; Yuanhan Zhang; Fanyi Pu; Ziwei Liu 002 (CoRR, 2023)

WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning. - Yuanhan Zhang; Kaichen Zhang; Bo Li 080; Fanyi Pu; Christopher Arif Setiadharma; Jingkang Yang; Ziwei Liu 002 (CoRR, 2024)

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models. - Kaichen Zhang; Bo Li 080; Peiyuan Zhang; Fanyi Pu; Joshua Adrian Cahyono; Kairui Hu; Shuai Liu 002; Yuanhan Zhang; Jingkang Yang; Chunyuan Li; Ziwei Liu 002 (NAACL (Findings), 2025)

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos. - Kairui Hu; Penghao Wu; Fanyi Pu; Wang Xiao; Yuanhan Zhang; Xiang Yue; Bo Li 080; Ziwei Liu 002 (CoRR, 2025)

Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients. - Yezhen Wang; Zhouhao Yang; Brian K. Chen; Fanyi Pu; Bo Li; Tianyu Gao; Kenji Kawaguchi (CoRR, 2025)

Otter: A Multi-Modal Model With In-Context Instruction Tuning. - Bo Li 080; Yuanhan Zhang; Liangyu Chen 005; Jinghao Wang; Fanyi Pu; Joshua Adrian Cahyono; Jingkang Yang; Chunyuan Li; Ziwei Liu 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)