Bo Liu

According to our database, Bo Liu authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection.

Bo Liu, Liming Zhan, Yujie Feng, Zexin Lu, Chengqiang Xie, Lei Xue, Albert Y. S. Lam, Xiao-Ming Wu

CoRR, 2024

TaSL: Task Skill Localization and Consolidation for Language Model Continual Learning.

Yujie Feng, Xu Chu, Yongxin Xu, Zexin Lu, Bo Liu, Philip S. Yu, Xiao-Ming Wu

CoRR, 2024

How Good Are LLMs at Out-of-Distribution Detection?

Bo Liu, Li-Ming Zhan, Zexin Lu, Yujie Feng, Lei Xue, Xiao-Ming Wu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs.

Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation.

Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Continual Dialogue State Tracking via Reason-of-Select Distillation.

Yujie Feng, Bo Liu, Xiaoyu Dong, Zexin Lu, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning.

Bo Liu, Li-Ming Zhan, Li Xu, Xiao-Ming Wu

IEEE Trans. Medical Imaging, May, 2023

Making Multimodal Generation Easier: When Diffusion Models Meet LLMs.

Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu

CoRR, 2023

How Good Are Large Language Models at Out-of-Distribution Detection?

Bo Liu, Liming Zhan, Zexin Lu, Yujie Feng, Lei Xue, Xiao-Ming Wu

CoRR, 2023

Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark.

Li Xu, Bo Liu, Ameer Hamza Khan, Lu Fan, Xiao-Ming Wu

CoRR, 2023

Towards LLM-driven Dialogue State Tracking.

Yujie Feng, Zexin Lu, Bo Liu, Liming Zhan, Xiao-Ming Wu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Modeling Multivariate Biosignals With Graph Neural Networks and Structured State Space Models.

Li Xu, Bo Liu, Ameer Hamza Khan, Lu Fan, Xiao-Ming Wu

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.

Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang

CoRR, 2022

Modeling User Behavior with Graph Convolution for Personalized Product Search.

Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2021

Contrastive Pre-training and Representation Distillation for Medical Visual Question Answering Based on Radiology Images.

Bo Liu, Li-Ming Zhan, Xiao-Ming Wu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Slake: A Semantically-Labeled Knowledge-Enhanced Dataset For Medical Visual Question Answering.

Bo Liu, Li-Ming Zhan, Li Xu, Lin Ma, Yan Yang, Xiao-Ming Wu

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training.

Li-Ming Zhan, Haowen Liang, Bo Liu, Lu Fan, Xiao-Ming Wu, Albert Y. S. Lam

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Medical Visual Question Answering via Conditional Reasoning.

Li-Ming Zhan, Bo Liu, Lu Fan, Jiaxin Chen, Xiao-Ming Wu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020