Bo Li

According to our database, Bo Li authored at least 44 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Otter: A Multi-Modal Model With In-Context Instruction Tuning.

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Joshua Adrian Cahyono, Jingkang Yang, Chunyuan Li, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Benchmarking and Analyzing Generative Data for Visual Recognition.

Bo Li, Haotian Liu, Liangyu Chen, Yong Jae Lee, Chunyuan Li, Ziwei Liu

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

Has GPT-5 Achieved Spatial Intelligence? An Empirical Study.

Zhongang Cai, Yubo Wang, Qingping Sun, Ruisi Wang, Chenyang Gu, Wanqi Yin, Zhiqian Lin, Zhitao Yang, Chen Wei, Xuanke Shi, Kewang Deng, Xiaoyang Han, Zukai Chen, Jiaqi Li, Xiangyu Fan, Hanming Deng, Lewei Lu, Bo Li, Ziwei Liu, Quan Wang, Dahua Lin, Lei Yang

CoRR, August, 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, Ziwei Liu

CoRR, January, 2025

Long Context Transfer from Language to Vision.

Peiyuan Zhang, Kaichen Zhang, Bo Li, Guangtao Zeng, Jingkang Yang, Yuanhan Zhang, Ziyue Wang, Haoran Tan, Chunyuan Li, Ziwei Liu

Trans. Mach. Learn. Res., 2025

LLaVA-OneVision: Easy Visual Task Transfer.

Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Peiyuan Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li

Trans. Mach. Learn. Res., 2025

LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models.

Kaichen Zhang, Bo Li, Peiyuan Zhang, Fanyi Pu, Joshua Adrian Cahyono, Kairui Hu, Shuai Liu, Yuanhan Zhang, Jingkang Yang, Chunyuan Li, Ziwei Liu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

EgoLife: Towards Egocentric Life Assistant.

Jingkang Yang, Shuai Liu, Hongming Guo, Yuhao Dong, Xiamengwei Zhang, Sicheng Zhang, Pengyun Wang, Zitang Zhou, Binzhu Xie, Ziyue Wang, Bei Ouyang, Zhengyu Lin, Marco Cominelli, Zhongang Cai, Bo Li, Yuanhan Zhang, Peiyuan Zhang, Fangzhou Hong, Joerg Widmer, Francesco Gringoli, Lei Yang, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs.

Chaoyou Fu, Yifan Zhang, Shukang Yin, Bo Li, Xinyu Fang, Sirui Zhao, Haodong Duan, Xing Sun, Ziwei Liu, Liang Wang, Caifeng Shan, Ran He

CoRR, 2024

Large Multi-modal Models Can Interpret Features in Large Multi-modal Models.

Kaichen Zhang, Yifei Shen, Bo Li, Ziwei Liu

CoRR, 2024

Video Instruction Tuning With Synthetic Data.

Yuanhan Zhang, Jinming Wu, Wei Li, Bo Li, Zejun Ma, Ziwei Liu, Chunyuan Li

CoRR, 2024

LLaVA-OneVision: Easy Visual Task Transfer.

Bo Li, Yuanhan Zhang, Dong Guo, Renrui Zhang, Feng Li, Hao Zhang, Kaichen Zhang, Yanwei Li, Ziwei Liu, Chunyuan Li

CoRR, 2024

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Feng Li, Renrui Zhang, Hao Zhang, Yuanhan Zhang, Bo Li, Wei Li, Zejun Ma, Chunyuan Li

CoRR, 2024

WorldQA: Multimodal World Knowledge in Videos through Long-Chain Reasoning.

Yuanhan Zhang, Kaichen Zhang, Bo Li, Fanyi Pu, Christopher Arif Setiadharma, Jingkang Yang, Ziwei Liu

CoRR, 2024

Octopus: Embodied Vision-Language Programmer from Environmental Feedback.

Jingkang Yang, Yuhao Dong, Shuai Liu, Bo Li, Ziyue Wang, Haoran Tan, Chencheng Jiang, Jiamu Kang, Yuanhan Zhang, Kaiyang Zhou, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

[inline-graphic not available: see fulltext] FunQA: Towards Surprising Video Comprehension.

Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

MMBench: Is Your Multi-modal Model an All-Around Player?

Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

OtterHD: A High-Resolution Multi-modality Model.

Bo Li, Peiyuan Zhang, Jingkang Yang, Yuanhan Zhang, Fanyi Pu, Ziwei Liu

CoRR, 2023

FunQA: Towards Surprising Video Comprehension.

Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, Ziwei Liu

CoRR, 2023

MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Fanyi Pu, Jingkang Yang, Chunyuan Li, Ziwei Liu

CoRR, 2023

Otter: A Multi-Modal Model with In-Context Instruction Tuning.

Bo Li, Yuanhan Zhang, Liangyu Chen, Jinghao Wang, Jingkang Yang, Ziwei Liu

CoRR, 2023

Large Language Models are Visual Reasoning Coordinators.

Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sparse Mixture-of-Experts are Domain Generalizable Learners.

Bo Li, Yifei Shen, Jingkang Yang, Yezhen Wang, Jiawei Ren, Tong Che, Jun Zhang, Ziwei Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Panoptic Video Scene Graph Generation.

Jingkang Yang, Wenxuan Peng, Xiangtai Li, Zujin Guo, Liangyu Chen, Bo Li, Zheng Ma, Kaiyang Zhou, Wayne Zhang, Chen Change Loy, Ziwei Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation.

Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer

IEEE Trans. Neural Networks Learn. Syst., 2022

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.

Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li

CoRR, 2022

Sparse Fusion Mixture-of-Experts are Domain Generalizable Learners.

Bo Li, Jingkang Yang, Jiawei Ren, Yezhen Wang, Ziwei Liu

CoRR, 2022

Domain Generalization using Pretrained Models without Fine-tuning.

Ziyue Li, Kan Ren, Xinyang Jiang, Bo Li, Haipeng Zhang, Dongsheng Li

CoRR, 2022

Self-Supervised Pretraining Improves Self-Supervised Pretraining.

Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection.

Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AnimeRun: 2D Animation Visual Correspondence from Open Source 3D Movies.

Li Siyao, Yuhang Li, Bo Li, Chao Dong, Ziwei Liu, Chen Change Loy

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Invariant Information Bottleneck for Domain Generalization.

Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation.

Sicheng Zhao, Bo Li, Pengfei Xu, Xiangyu Yue, Guiguang Ding, Kurt Keutzer

Int. J. Comput. Vis., 2021

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision.

Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li

CoRR, 2021

Invariant Information Bottleneck for Domain Generalization.

Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao

CoRR, 2021

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.

Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation.

Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation.

Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Rethinking Distributional Matching Based Domain Adaptation.

Bo Li, Yezhen Wang, Tong Che, Shanghang Zhang, Sicheng Zhao, Pengfei Xu, Wei Zhou, Yoshua Bengio, Kurt Keutzer

CoRR, 2020

MADAN: Multi-source Adversarial Domain Aggregation Network for Domain Adaptation.

Sicheng Zhao, Bo Li, Xiangyu Yue, Pengfei Xu, Kurt Keutzer

CoRR, 2020

Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey.

Sicheng Zhao, Bo Li, Colorado Reed, Pengfei Xu, Kurt Keutzer

CoRR, 2020

2019

Multi-source Domain Adaptation for Semantic Segmentation.

Sicheng Zhao, Bo Li, Xiangyu Yue, Yang Gu, Pengfei Xu, Runbo Hu, Hua Chai, Kurt Keutzer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2010

Synchronization with timing recovery loop in UHF RFID reader receivers.

Peng Wei, Bo Li, Yuqing Yang, Hao Min, Junyu Wang

Proceedings of the 17th IEEE International Conference on Electronics, 2010