Publications

Genki Kusano, Kosuke Akimoto, Kunihiro Takeoka (2025). Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation. Proceedings of the 19th ACM Conference on Recommender Systems (RecSys 2025).

Kenya Abe, Kunihiro Takeoka, Makoto P. Kato, Masafumi Oyamada (2025). LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025).

Taro Yano, Kunihiro Takeoka, Masafumi Oyamada (2024). Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers. Proceedings of the Workshop on Semantic Evaluation (SEM@NAACL 2024).

Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada (2023). Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering. EMNLP.

Kunihiro Takeoka, Kosuke Akimoto, Masafumi Oyamada (2021). Low-resource Taxonomy Enrichment with Pretrained Language Models. EMNLP.

Masafumi Enomoto, Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Takeshi Okadome (2021). Quality Control for Hierarchical Classification with Incomplete Annotations. PAKDD.

Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada (2021). Efficient Joinable Table Discovery in Data Lake: A High-Dimensional Similarity-Based Approach. ICDE.

Yuyang Dong, Chuan Xiao, Hanxiong Chen, Jefferey Xu Yu, Kunihiro Takeoka, Masafumi Oyamada, Hiroyuki Kitagawa (2020). Continuous top-k spatial–keyword search on dynamic objects. VLDB Journal.

Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada (2020). Learning with Unsure Responses. AAAI 2020.

Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome (2019). Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. AAAI 2019.