| 2026 | ACL | Evaluating the Impact of Reviewer Guideline Design on LLM-Based Automated Peer Review. | Haowen Li, Yoichi Ishibashi, Masafumi Oyamada |
| 2026 | EACL | SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation. | Nobuhiro Ueda, Yuyang Dong, Krisztin Boros, Daiki Ito, Takuya Sera, Masafumi Oyamada |
| 2025 | ACL | 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 Heuer, Wiem Ben Rim, Masafumi Enomoto, Kunihiro Takeoka, Masafumi Oyamada, Goran Glavas, Carolin Lawrence |
| 2025 | EMNLP | LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents. | Taro Yano, Yoichi Ishibashi, Masafumi Oyamada |
| 2025 | NAACL | Can Large Language Models Invent Algorithms to Improve Themselves? | Yoichi Ishibashi, Taro Yano, Masafumi Oyamada |
| 2025 | SIGIR | LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries. | Kenya Abe, Kunihiro Takeoka, Makoto P. Kato, Masafumi Oyamada |
| 2024 | CIKM | On the Use of Large Language Models for Table Tasks. | Yuyang Dong, Masafumi Oyamada, Chuan Xiao, Haochen Zhang |
| 2024 | EMNLP | Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing. | Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada |
| 2024 | VLDB | Large Language Models as Data Preprocessors. | Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada |
| 2023 | EMNLP | Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering. | Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada |
| 2023 | PAKDD | QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model. | Shogo Hayashi, Yuyang Dong, Masafumi Oyamada |
| 2022 | SIGIR | Table Enrichment System for Machine Learning. | Yuyang Dong, Masafumi Oyamada |
| 2021 | EMNLP | Low-resource Taxonomy Enrichment with Pretrained Language Models. | Kunihiro Takeoka, Kosuke Akimoto, Masafumi Oyamada |
| 2021 | ICDE | Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach. | Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada |
| 2021 | ICWSM | User Identity Linkage for Different Behavioral Patterns across Domains. | Genki Kusano, Masafumi Oyamada |
| 2021 | PAKDD | Quality Control for Hierarchical Classification with Incomplete Annotations. | Masafumi Enomoto, Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Takeshi Okadome |
| 2020 | AAAI | Learning with Unsure Responses. | Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada |
| 2019 | AAAI | Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. | Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome |
| 2017 | ICDM | Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data. | Masafumi Oyamada, Shinji Nakadai |
| 2017 | PAKDD | Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering. | Katsufumi Tomobe, Masafumi Oyamada, Shinji Nakadai |
| 2014 | APWEB | MOARLE: Matrix Operation Accelerator Based on Run-Length Encoding. | Masafumi Oyamada, Jianquan Liu, Kazuyo Narita, Takuya Araki |
| 2013 | SAC | Continuous query processing with concurrency control: reading updatable resources consistently. | Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa |