Jiazhan Feng
Orcid: 0000-0002-5832-6199
According to our database1,
Jiazhan Feng
authored at least 25 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Synergistic Interplay between Search and Large Language Models for Information Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation.
ACM Trans. Inf. Syst., October, 2023
A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models.
CoRR, 2023
Knowledge Refinement via Interaction Between Search Engines and Large Language Models.
CoRR, 2023
CoRR, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proceedings of the Natural Language Processing and Chinese Computing, 2022
Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues.
ACM Trans. Inf. Syst., 2021
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning.
CoRR, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2019
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019