年別の研究成果
年別の研究成果
フィンガープリント
Tetsuya Sakaiが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。
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過去5年の共同研究と上位研究分野
国/地域レベルにおける最近の外部共同研究。点をクリックして詳細を開くか、または
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Decoy Effect in Search Interaction: Understanding User Behavior and Measuring System Vulnerability
Chen, N., Liu, J., Fang, H., Luo, Y., Sakai, T. & Wu, X. M., 2025 1月 29, In: ACM Transactions on Information Systems. 43, 2, 53.研究成果: Article › 査読
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AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
Chen, N., Liu, J., Dong, X., Liu, Q., Sakai, T. & Wu, X. M., 2024 12月 8, SIGIR-AP 2024 - Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region. Association for Computing Machinery, Inc, p. 54-63 10 p. (SIGIR-AP 2024 - Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region).研究成果: Conference contribution
1 被引用数 (Scopus) -
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval
Mao, K., Deng, C., Chen, H., Mo, F., Liu, Z., Sakai, T. & Dou, Z., 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 1227-1240 14 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).研究成果: Conference contribution
Open Access -
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models
Zhang, Y., Fan, X., Wang, J., Chen, C., Mo, F., Sakai, T. & Yamana, H., 2024 12月 8, SIGIR-AP 2024 - Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region. Association for Computing Machinery, Inc, p. 226-235 10 p. (SIGIR-AP 2024 - Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region).研究成果: Conference contribution
Open Access -
Enhancing Parameter Efficiency in Model Inference Using an Ultralight Inter-Transformer Linear Structure
Shi, H. & Sakai, T., 2024, In: IEEE Access. 12, p. 43734-43746 13 p., 3378518.研究成果: Article › 査読
Open Access1 被引用数 (Scopus)