Fengran Mo
Orcid: 0000-0002-0838-6994
According to our database1,
Fengran Mo
authored at least 17 papers
between 2020 and 2024.
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Bibliography
2024
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
2023
Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search.
CoRR, 2023
Learning Denoised and Interpretable Session Representation for Conversational Search.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Domain-Aware Word Segmentation for Chinese Language: A Document-Level Context-Aware Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
2020
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020