Haonan Chen

Orcid: 0000-0001-9812-0438

Affiliations:
  • Renmin University of China, Gaoling School of Artificial Intelligence, Beijing, China


According to our database1, Haonan Chen authored at least 11 papers between 2022 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Query-Oriented Data Augmentation for Session Search.
IEEE Trans. Knowl. Data Eng., November, 2024

Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation.
CoRR, 2024

Enhancing Multi-field B2B Cloud Solution Matching via Contrastive Pre-training.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Integrating Representation and Interaction for Context-Aware Document Ranking.
ACM Trans. Inf. Syst., January, 2023

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection.
CoRR, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
CoRR, 2023

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

From Easy to Hard: A Dual Curriculum Learning Framework for Context-Aware Document Ranking.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022


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