| WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions C Xu, Q Sun, K Zheng, X Geng, P Zhao, J Feng, C Tao, Q Lin, D Jiang (ICLR'24) The Twelfth International Conference on Learning Representations, 2024 | 862* | 2024 |
| Multi-granularity structural knowledge distillation for language model compression C Liu, C Tao, J Feng, D Zhao (ACL'22) Proceedings of the 60th Annual Meeting of the Association for …, 2022 | 53 | 2022 |
| MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation J Feng, Q Sun, C Xu, P Zhao, Y Yang, C Tao, D Zhao, Q Lin (ACL'23) Proceedings of the 61st Annual Meeting of the Association for …, 2023 | 49 | 2023 |
| A Survey on Response Selection for Retrieval-based Dialogues. C Tao, J Feng, R Yan, W Wu, D Jiang (IJCAI'21) Proceedings of the Thirtieth International Joint Conference on …, 2021 | 36 | 2021 |
| Learning a matching model with co-teaching for multi-turn response selection in retrieval-based dialogue systems J Feng, C Tao, W Wu, Y Feng, D Zhao, R Yan (ACL'19) Proceedings of the 57th Annual Meeting of the Association for …, 2019 | 32 | 2019 |
| Synergistic Interplay between Search and Large Language Models for Information Retrieval J Feng, C Tao, X Geng, T Shen, C Xu, G Long, D Zhao, D Jiang (ACL'24) Proceedings of the 62nd Annual Meeting of the Association for …, 2024 | 23* | 2024 |
| Language Models can be Deductive Solvers J Feng, R Xu, J Hao, H Sharma, Y Shen, D Zhao, W Chen (NAACL'24 Findings) Findings of the Association for Computational …, 2024 | 20* | 2024 |
| CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection C Tao, J Feng, T Shen, C Liu, J Li, X Geng, D Jiang (ACL'23) Proceedings of the 61st Annual Meeting of the Association for …, 2023 | 11* | 2023 |
| Response ranking with multi-types of deep interactive representations in retrieval-based dialogues R Xu, C Tao, J Feng, W Wu, R Yan, D Zhao ACM Transactions on Information Systems (TOIS) 39 (4), 1-28, 2021 | 9 | 2021 |
| A pre-training strategy for zero-resource response selection in knowledge-grounded conversations C Tao, C Chen, J Feng, JR Wen, R Yan (ACL'21) Proceedings of the 59th Annual Meeting of the Association for …, 2021 | 9 | 2021 |
| Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook C Liu, C Tao, J Liang, T Shen, J Feng, Q Huang, D Zhao (EMNLP'22) Proceedings of the 2022 Conference on Empirical Methods in …, 2022 | 8 | 2022 |
| Learning multi-turn response selection in grounded dialogues with reinforced knowledge and context distillation J Feng, C Tao, X Zhao, D Zhao ACM Transactions on Information Systems (TOIS) 41 (4), 1-27, 2023 | 4 | 2023 |
| Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations J Feng, C Tao, Z Li, C Liu, T Shen, D Zhao (COLING'22) Proceedings of the 29th International Conference on …, 2022 | 4 | 2022 |
| A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models H Cao, Z An, J Feng, K Xu, L Chen, D Zhao arXiv preprint arXiv:2311.07491, 2023 | 3 | 2023 |
| FAA: Fine-grained Attention Alignment for Cascade Document Ranking Z Li, C Tao, J Feng, T Shen, D Zhao, X Geng, D Jiang (ACL'23) Proceedings of the 61st Annual Meeting of the Association for …, 2023 | 3 | 2023 |
| How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection J Feng, C Tao, C Liu, R Yan, D Zhao (EMNLP'22 Findings) Findings of the Association for Computational …, 2022 | 3 | 2022 |
| Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning C Liu, C Tao, J Liang, J Feng, T Shen, Q Huang, D Zhao (EMNLP'23 Findings) Findings of the Association for Computational …, 2023 | 1 | 2023 |
| Teaching Text-to-Image Models to Communicate in Dialog X Sun, J Feng, Y Wang, Y Lai, X Shen, D Zhao arXiv preprint arXiv:2309.15516, 2023 | 1 | 2023 |
| Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination J Liang, C Liu, C Tao, J Feng, D Zhao (ACL'23 Findings) Findings of the Association for Computational Linguistics …, 2023 | 1 | 2023 |
| Dimension-Prompts Boost Commonsense Consolidation J Feng, C Tao, T Shen, C Liu, D Zhao (SIGIR'23) Proceedings of the 46th International ACM SIGIR Conference on …, 2023 | | 2023 |
Dongyan ZhaoPeking UniversityE-mail megerősítve itt: pku.edu.cn
