Jiazhan Feng

Orcid: 0000-0002-5832-6199

According to our database1, Jiazhan Feng authored at least 22 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

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

Language Models can be Logical Solvers.
CoRR, 2023

Teaching Text-to-Image Models to Communicate.
CoRR, 2023

Knowledge Refinement via Interaction Between Search Engines and Large Language Models.
CoRR, 2023

WizardLM: Empowering Large Language Models to Follow Complex Instructions.
CoRR, 2023

Dimension-Prompts Boost Commonsense Consolidation.
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

FAA: Fine-grained Attention Alignment for Cascade Document Ranking.
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
Training Two-Stage Knowledge-Grounded Dialogues with Attention Feedback.
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

Multi-Granularity Structural Knowledge Distillation for Language Model Compression.
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

A Survey on Response Selection for Retrieval-based Dialogues.
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


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