Kai Liu

According to our database, Kai Liu authored at least 24 papers between 2017 and 2026.

Collaborative distances:

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

2026

Audio-Visual Intelligence in Large Foundation Models.

You Qin, Kai Liu, Shengqiong Wu, Kai Wang, Shijian Deng, Yapeng Tian, Junbin Xiao, Yazhou Xing, Yinghao Ma, Bobo Li, Roger Zimmermann, Lei Cui, Furu Wei, Jiebo Luo, Hao Fei

CoRR, May, 2026

JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation.

Kai Liu, Yanhao Zheng, Kai Wang, Shengqiong Wu, Rongjunchen Zhang, Jiebo Luo, Dimitrios Hatzinakos, Ziwei Liu, Hao Fei, Tat-Seng Chua

CoRR, February, 2026

AUHead: Realistic Emotional Talking Head Generation via Action Units Control.

Jiayi Lyu, Leigang Qu, Wenjing Zhang, Hanyu Jiang, Kai Liu, Zhenglin Zhou, Xiaobo Xia, Jian Xue, Tat-Seng Chua

CoRR, February, 2026

2025

JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization.

Kai Liu, Wei Li, Lai Chen, Shengqiong Wu, Yanhao Zheng, Jiayi Ji, Fan Zhou, Rongxin Jiang, Jiebo Luo, Hao Fei, Tat-Seng Chua

CoRR, March, 2025

ESOD: Efficient Small Object Detection on High-Resolution Images.

Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye

IEEE Trans. Image Process., 2025

JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation.

Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, Jianzhang Gao, Daoan Zhang, Wei Zhang, Sheng Jin, Sicheng Yu, Geng Zhan, Jiayi Ji, Fan Zhou, Liang Zheng, Shuicheng Yan, Hao Fei, Tat-Seng Chua

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

The ACM Multimedia 2025 Grand Challenge of Truthful and Responsible Multimodal Learning.

Xudong Han, Kai Liu, Yanlin Li, Hao Li, Zheng Wang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Structure-aware Domain Knowledge Injection for Large Language Models.

Kai Liu, Ze Chen, Zhihang Fu, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge.

Kai Liu, Ze Chen, Zhihang Fu, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye

CoRR, 2024

Enhancing LLM's Cognition via Structurization.

Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution.

Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Delving into the Reversal Curse: How Far Can Large Language Models Generalize?

Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions.

Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye

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

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection.

Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye

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

Uncertainty-aware Unsupervised Multi-Object Tracking.

Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension.

Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Robust Adversarial Training Approach to Machine Reading Comprehension.

Kai Liu, Xin Liu, An Yang, Jing Liu, Jinsong Su, Sujian Li, Qiaoqiao She

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Enhancing Pre-Trained Language Representations with Rich Knowledge for Machine Reading Comprehension.

An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, Sujian Li

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task.

An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification.

Yizhong Wang, Kai Liu, Jing Liu, Wei He, Yajuan Lyu, Hua Wu, Sujian Li, Haifeng Wang

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications.

Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, 2018

2017

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications.

Wei He, Kai Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang

CoRR, 2017