| Corrective Retrieval Augmented Generation SQ Yan*, JC Gu*, Y Zhu, ZH Ling arXiv preprint arXiv:2401.15884, 2024 | 400 | 2024 |
| A Comprehensive Study of Knowledge Editing for Large Language Models N Zhang, Y Yao, B Tian, P Wang, S Deng, M Wang, Z Xi, S Mao, J Zhang, ... arXiv preprint arXiv:2401.01286, 2024 | 264* | 2024 |
| Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots JC Gu, T Li, Q Liu, ZH Ling, Z Su, S Wei, X Zhu Proc. CIKM, 2041-2044, 2020 | 187 | 2020 |
| Leveraging Large Language Models for NLG Evaluation: Advances and Challenges Z Li, X Xu, T Shen, C Xu, JC Gu, Y Lai, C Tao, S Ma Proc. EMNLP, 16028-16045, 2024 | 134* | 2024 |
| Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue JC Gu, HX Xu, JY Ma, P Lu, ZH Ling, KW Chang, N Peng Proc. EMNLP, 16801-16819, 2024 | 132* | 2024 |
| MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding JC Gu, C Tao, ZH Ling, C Xu, X Geng, D Jiang Proc. ACL, 3682-3692, 2021 | 76 | 2021 |
| Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots JC Gu, ZH Ling, Q Liu Proc. CIKM, 2321-2324, 2019 | 76 | 2019 |
| Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots JC Gu, ZH Ling, X Zhu, Q Liu Proc. EMNLP, 1845-1854, 2019 | 75 | 2019 |
| Can Editing LLMs Inject Harm? C Chen, B Huang, Z Li, Z Chen, S Lai, X Xu, JC Gu, J Gu, H Yao, C Xiao, ... Proc. AAAI, 2026 | 61 | 2026 |
| Knowledge mechanisms in large language models: A survey and perspective M Wang, Y Yao, Z Xu, S Qiao, S Deng, P Wang, X Chen, JC Gu, Y Jiang, ... Findings of EMNLP, 7097-7135, 2024 | 60 | 2024 |
| WHO Says WHAT to WHOM: A Survey of Multi-Party Conversations JC Gu, C Tao, ZH Ling Proc. IJCAI, 5486-5493, 2022 | 56 | 2022 |
| Untying the Reversal Curse via Bidirectional Language Model Editing JY Ma, JC Gu, ZH Ling, Q Liu, C Liu arXiv preprint arXiv:2310.10322, 2023 | 42 | 2023 |
| HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations JC Gu, CH Tan, C Tao, ZH Ling, H Hu, X Geng, D Jiang Proc. ACL, 5086-5097, 2022 | 42 | 2022 |
| Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots JC Gu, ZH Ling, Q Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 369-379, 2019 | 37 | 2019 |
| MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models W Hu, JC Gu, ZY Dou, M Fayyaz, P Lu, KW Chang, N Peng Proc. ICLR, 2025 | 36 | 2025 |
| Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots JC Gu, H Liu, ZH Ling, Q Liu, Z Chen, X Zhu Proc. SIGIR, 565-574, 2021 | 34 | 2021 |
| Perturbation-Restrained Sequential Model Editing JY Ma, H Wang, HX Xu, ZH Ling, JC Gu Proc. ICLR, 2025 | 33 | 2025 |
| Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection Y Zhu, JC Gu, C Sikora, H Ko, Y Liu, CC Lin, L Shu, L Luo, L Meng, B Liu, ... Proc. ICLR, 2025 | 32* | 2025 |
| Conversation-and Tree-structure Losses for Dialogue Disentanglement T Li, JC Gu, ZH Ling, Q Liu Proc. DialDoc@ACL, 54-64, 2022 | 32* | 2022 |
| Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots JC Gu, ZH Ling, Q Liu, Z Chen, X Zhu Findings of EMNLP, 1412-1422, 2020 | 31 | 2020 |
