Jinpeng Li

Orcid: 0000-0003-4501-5110

Affiliations:
  • Peking University, Institute of Computer Science and Technology, Beijing, China
  • Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (2017 - 2020)


According to our database1, Jinpeng Li authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

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Bibliography

2024
StyleChat: Learning Recitation-Augmented Memory in LLMs for Stylized Dialogue Generation.
CoRR, 2024

2023
CharacterChat: Learning towards Conversational AI with Personalized Social Support.
CoRR, 2023

Learning Disentangled Representation via Domain Adaptation for Dialogue Summarization.
Proceedings of the ACM Web Conference 2023, 2023

Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Envisioning Future from the Past: Hierarchical Duality Learning for Multi-Turn Dialogue Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dialogue Summarization with Static-Dynamic Structure Fusion Graph.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

ConvNTM: Conversational Neural Topic Model.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Stylized Dialogue Generation with Multi-Pass Dual Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
CLTS: A New Chinese Long Text Summarization Dataset.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Improving Abstractive Summarization with Iterative Representation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Abstractive Text Summarization with Multi-Head Attention.
Proceedings of the International Joint Conference on Neural Networks, 2019


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