Chao-Hong Tan

According to our database, Chao-Hong Tan authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

FGGM: Fisher-Guided Gradient Masking for Continual Learning.

Chao-Hong Tan, Qian Chen, Wen Wang, Yukun Ma, Chong Zhang, Chong Deng, Qinglin Zhang, Xiangang Li, Jieping Ye

CoRR, January, 2026

SpeakerLM: End-to-End Versatile Speaker Diarization and Recognition with Multimodal Large Language Models.

Han Yin, Yafeng Chen, Chong Deng, Luyao Cheng, Hui Wang, Chao-Hong Tan, Qian Chen, Wen Wang, Xiangang Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Fun-Audio-Chat Technical Report.

Tongyi Fun Team, Qian Chen, Luyao Cheng, Chong Deng, Xiangang Li, Jiaqing Liu, Chao-Hong Tan, Wen Wang, Junhao Xu, Jieping Ye, Qinglin Zhang, Qiquan Zhang, Jingren Zhou

CoRR, December, 2025

OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive Alignment.

Chao-Hong Tan, Qian Chen, Wen Wang, Chong Deng, Qinglin Zhang, Luyao Cheng, Hai Yu, Xin Zhang, Xiang Lv, Tianyu Zhao, Chong Zhang, Yukun Ma, Yafeng Chen, Hui Wang, Jiaqing Liu, Jieping Ye

CoRR, June, 2025

OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation.

Qinglin Zhang, Luyao Cheng, Chong Deng, Qian Chen, Wen Wang, Siqi Zheng, Jiaqing Liu, Hai Yu, Chao-Hong Tan, Zhihao Du, Shiliang Zhang

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

2023

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation.

Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu, Guoping Hu

CoRR, 2023

DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion.

Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling

CoRR, 2023

Is ChatGPT a Good Multi-Party Conversation Solver?

Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation.

Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu

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

2022

PoNet: Pooling Network for Efficient Token Mixing in Long Sequences.

Chao-Hong Tan, Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Zhen-Hua Ling

Proceedings of the Tenth International Conference on Learning Representations, 2022

Neural Grapheme-To-Phoneme Conversion with Pre-Trained Grapheme Models.

Lu Dong, Zhiqiang Guo, Chao-Hong Tan, Ya-Jun Hu, Yuan Jiang, Zhen-Hua Ling

Proceedings of the IEEE International Conference on Acoustics, 2022

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge.

Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations.

Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020

Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems.

Chao-Hong Tan, Xiaoyu Yang, Zi'ou Zheng, Tianda Li, Yufei Feng, Jia-Chen Gu, Quan Liu, Dan Liu, Zhen-Hua Ling, Xiaodan Zhu

CoRR, 2020