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

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

Low-resource Taxonomy Enrichment with Pretrained Language Models. - Kunihiro Takeoka; Kosuke Akimoto; Masafumi Oyamada (EMNLP (1), 2021)

Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach. - Yuyang Dong; Kunihiro Takeoka; Chuan Xiao 001; Masafumi Oyamada (ICDE, 2021)

Quality Control for Hierarchical Classification with Incomplete Annotations. - Masafumi Enomoto; Kunihiro Takeoka; Yuyang Dong; Masafumi Oyamada; Takeshi Okadome (PAKDD (3), 2021)

Continuous top-k spatial-keyword search on dynamic objects. - Yuyang Dong; Chuan Xiao 001; Hanxiong Chen; Jeffrey Xu Yu; Kunihiro Takeoka; Masafumi Oyamada; Hiroyuki Kitagawa (VLDB J., 2021)

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

Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers. - Taro Yano; Kunihiro Takeoka; Masafumi Oyamada (*SEM@NAACL, 2024)

LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization. - Masafumi Enomoto; Kunihiro Takeoka; Kosuke Akimoto; Kiril Gashteovski; Masafumi Oyamada (CoRR, 2024)

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems. - Genki Kusano; Kosuke Akimoto; Kunihiro Takeoka (CoRR, 2024)

On Synthesizing Data for Context Attribution in Question Answering. - Gorjan Radevski; Kiril Gashteovski; Shahbaz Syed; Christopher Malon; Sebastien Nicolas; Chia-Chien Hung; Timo Sztyler; Verena Heußer; Wiem Ben Rim; Masafumi Enomoto; Kunihiro Takeoka; Masafumi Oyamada; et al. (ACL (1), 2025)

LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries. - Kenya Abe; Kunihiro Takeoka; Makoto P. Kato; Masafumi Oyamada (SIGIR, 2025)

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation. - Genki Kusano; Kosuke Akimoto; Kunihiro Takeoka (CoRR, 2025)