| [Preprint] |
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression.
Yuankai Li*, Jia-Chen Gu*, Di Wu, Kai-Wei Chang, Nanyun Peng [paper] [code] [project page] |
|
| [Preprint] |
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models.
Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng [paper] [code] [project page] |
|
| [Preprint] |
Perturbation-Restrained Sequential Model Editing.
Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu# [paper] [code] |
|
| [Preprint] |
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection.
Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen [paper] [code] |
|
| [Preprint] |
Corrective Retrieval Augmented Generation.
Shi-Qi Yan*, Jia-Chen Gu*, Yun Zhu, Zhen-Hua Ling [paper] [code] |
|
| [Preprint] |
Untying the Reversal Curse via Bidirectional Language Model Editing.
Jun-Yu Ma*, Jia-Chen Gu*, Zhen-Hua Ling, Quan Liu, Cong Liu [paper] [code] |
|
| [Preprint] |
DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion.
Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling [paper] [code] |
|
| [Preprint] |
Can Editing LLMs Inject Harm?
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu [paper] [code] |
|
| [Preprint] |
A Comprehensive Study of Knowledge Editing for Large Language Models.
Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen [paper] [code] |
|
2024 |
||
| [EMNLP] |
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue.
Jia-Chen Gu*, Hao-Xiang Xu*, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024. [paper] [code] [project page] |
|
| [EMNLP] |
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation.
Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024. [paper] [code] [project page] |
|
| [EMNLP] |
Leveraging Large Language Models for NLG Evaluation: Advances and Challenges.
Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024. [paper] |
|
| [EMNLP] |
Knowledge Mechanisms in Large Language Models: A Survey and Perspective.
Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang In Findings of the Association for Computational Linguistics: EMNLP 2024, 2024. [paper] |
|
| [ICML] |
Neighboring Perturbations of Knowledge Editing on Large Language Models.
Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu# In Proceedings of the 41st International Conference on Machine Learning, 2024. [paper] [code] |
|
| [ACL] |
X-ACE: Explainable and Multi-factor Audio Captioning Evaluation.
Qian Wang, Jia-Chen Gu, Zhen-Hua Ling In Findings of the Association for Computational Linguistics: ACL 2024, 2024. [paper] |
|
| [ICASSP] |
Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval.
Qian Wang, Jia-Chen Gu, Zhen-Hua Ling In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2024. [paper] |
|
| [TASLP] |
SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction.
Jun-Yu Ma, Jia-Chen Gu#, Zhen-Hua Ling, Quan Liu, Cong Liu, Guoping Hu IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2024. [paper] [code] |
|
2023 |
||
| [EMNLP] |
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 In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023. (Oral) [paper] [code] |
|
| [EMNLP] |
Is ChatGPT a Good Multi-Party Conversation Solver?
Chao-Hong Tan, Jia-Chen Gu, Zhen-Hua Ling In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023. [paper] [code] |
|
| [EMNLP] |
Symbolization, Prompt, and Classification: A Framework for Implicit Speaker Identification in Novels.
Yue Chen, Tian-Wei He, Hong-Bin Zhou, Jia-Chen Gu, Heng Lu, Zhen-Hua Ling In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023. [paper] [code] |
|
| [ACL] |
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding.
Jia-Chen Gu, Zhe-Hua Ling, Quan Liu, Cong Liu, Guoping Hu In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, 2023. (Best Paper Honorable Mention Award) [paper] [code] [slides] |
|
| [SemEval] |
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER.
Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi, Zhen-Hua Ling, Quan Liu, Xiaoyi Zhao In Proceedings of the 17th International Workshop on Semantic Evaluation, 2023. [paper] |
|
| [DSTC] |
Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction.
Caiyuan Chu, Ya Li, Yifan Liu, Jia-Chen Gu, Quan Liu, Yongxin Ge, Guoping Hu In Proceedings of The Eleventh Dialog System Technology Challenge, 2023. [paper] |
|
2022 |
||
| [Thesis] |
A Study on Retrieval-based Dialogue Systems via Deep Learning.
Jia-Chen Gu Ph.D. Thesis, University of Science and Technology of China, 2022. [abstract] [bib] [acknowledgements] |
|
| [IJCAI] |
Who Says What to Whom: A Survey of Multi-Party Conversations.
Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling In Proceedings of the 31st International Joint Conference on Artificial Intelligence, 2022. [paper] |
|
| [ACL] |
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 In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022. [paper] [code] [slides] |
|
| [ACL] |
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 In Findings of the Association for Computational Linguistics: ACL 2022, 2022. [paper] [code] |
|
| [DialDoc] |
Conversation- and Tree-Structure Losses for Dialogue Disentanglement.
Tianda Li, Jia-Chen Gu, Zhen-Hua Ling, Quan Liu In Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022. (Best Paper Award) [paper] [code] |
|
| [EMNLP] |
Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition.
Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu, Zhen-Hua Ling, Wu Guo, Quan Liu, Zhigang Chen, Cong Liu In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022. [paper] [code] |
|
2021 |
||
| [EMNLP] |
Detecting Speaker Personas from Conversational Texts.
Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021. (Oral) [paper] [code] [slides] |
|
| [ACL] |
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding.
Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, 2021. (Oral) [paper] [code] [slides] |
|
| [SIGIR] |
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots.
Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021. (Oral) [paper] [code] [slides] |
|
| [TASLP] |
Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis.
Jia-Chen Gu, Tianda Li, Zhen-Hua Ling, Quan Liu, Zhiming Su, Yu-Ping Ruan, Xiaodan Zhu IEEE/ACM Transactions on Audio, Speech, and Language Processing. 29: 2443-2455, 2021. [paper] [code] |
|
| [ICASSP] |
Have You Made A Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem.
Tianda Li, Jia-Chen Gu, Hui Liu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Xiaodan Zhu In Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2021. [paper] [code] |
|
| [DSTC] |
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 In Proceedings of the 35th AAAI Conference on Artificial Intelligence Workshop on the 9th Dialog System Technology Challenge, 2021. [paper] [code] [poster] |
|
2020 |
||
| [EMNLP] |
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots.
Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu In Findings of the Association for Computational Linguistics: EMNLP 2020, 2020. [paper] [code] [slides] |
|
| [CIKM] |
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, Xiaodan Zhu In Proceedings of the 29th ACM International Conference on Information and Knowledge Management, 2020. [paper] [code] [slides] |
|
| [TASLP] |
Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Jia-Chen Gu, Zhen-Hua Ling, Quan Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing. 28: 369–379, 2020. [paper] [code] |
|
| [IJCAI] |
End-to-End Transition-Based Online Dialogue Disentanglement.
Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu In Proceedings of the 29th International Joint Conference on Artificial Intelligence, 2020. [paper] [code] |
|
| [DSTC] |
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems.
Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Yu-Ping Ruan In Proceedings of the 34th AAAI Conference on Artificial Intelligence Workshop on the 8th Dialog System Technology Challenge, 2020. [paper] |
|
| [DSTC] |
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking.
Yu-Ping Ruan, Zhen-Hua Ling, Jia-Chen Gu, Quan Liu In Proceedings of the 34th AAAI Conference on Artificial Intelligence Workshop on the 8th Dialog System Technology Challenge, 2020. [paper] |
|
| [CSL] |
Generating Diverse Conversation Responses by Creating and Ranking Multiple Candidates.
Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu, Jia-Chen Gu Computer Speech and Language. 62: 101071, 2020. [paper] |
|
2019 |
||
| [EMNLP] |
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots.
Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, 2019. [paper] [code] [poster] |
|
| [CIKM] |
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Jia-Chen Gu, Zhen-Hua Ling, Quan Liu In Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019. [paper] [code] [slides] |
|
| [DSTC] |
Building Sequential Inference Models for End-to-End Response Selection.
Jia-Chen Gu, Zhen-Hua Ling, Yu-Ping Ruan, Quan Liu In Proceedings of the 33rd AAAI Conference on Artificial Intelligence Workshop on the 7th Dialog System Technology Challenge, 2019. [paper] [poster] |
|
| [DSTC] |
Promoting Diversity for End-to-End Conversation Response Generation.
Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Jia-Chen Gu, Xiaodan Zhu In Proceedings of the 33rd AAAI Conference on Artificial Intelligence Workshop on the 7th Dialog System Technology Challenge, 2019. [paper] |
|
2018 |
||
| [CCL] |
A Study on Improving End-to-End Neural Coreference Resolution.
Jia-Chen Gu, Zhen-Hua Ling, Nitin Indurkhya In Proceedings of the 17th China National Conference on Computational Linguistics, 2018. [paper] [poster] |