Jia-Chen Gu

Orcid: 0000-0002-8801-1438

According to our database1, Jia-Chen Gu authored at least 41 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Neighboring Perturbations of Knowledge Editing on Large Language Models.
CoRR, 2024

Corrective Retrieval Augmented Generation.
CoRR, 2024

Leveraging Large Language Models for NLG Evaluation: A Survey.
CoRR, 2024

Model Editing Can Hurt General Abilities of Large Language Models.
CoRR, 2024

A Comprehensive Study of Knowledge Editing for Large Language Models.
CoRR, 2024

2023
Untying the Reversal Curse via Bidirectional Language Model Editing.
CoRR, 2023

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation.
CoRR, 2023

SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction.
CoRR, 2023

DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion.
CoRR, 2023

Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction.
CoRR, 2023

USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Is ChatGPT a Good Multi-Party Conversation Solver?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Symbolization, Prompt, and Classification: A Framework for Implicit Speaker Identification in Novels.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Who Says What to Whom: A Survey of Multi-Party Conversations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Conversation- and Tree-Structure Losses for Dialogue Disentanglement.
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

2021
Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem.
Proceedings of the IEEE International Conference on Acoustics, 2021

Detecting Speaker Personas from Conversational Texts.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Generating diverse conversation responses by creating and ranking multiple candidates.
Comput. Speech Lang., 2020

Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems.
CoRR, 2020

Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots.
CoRR, 2020

DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement.
CoRR, 2020

Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems.
CoRR, 2020

Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking.
CoRR, 2020

End-to-End Transition-Based Online Dialogue Disentanglement.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Promoting Diversity for End-to-End Conversation Response Generation.
CoRR, 2019

Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Building Sequential Inference Models for End-to-End Response Selection.
CoRR, 2018

A Study on Improving End-to-End Neural Coreference Resolution.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

2001
Steady state hierarchical optimizing control for large-scale industrial processes with fuzzy parameters.
IEEE Trans. Syst. Man Cybern. Part C, 2001


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