Masafumi Oyamada

50 papers A* 8A 2B 1C 1Misc 1Journal 23Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation. EACL (Findings) Nobuhiro Ueda, Yuyang Dong, Krisztián Boros, Daiki Ito, Takuya Sera, Masafumi Oyamada
2025	J	`jnl`	An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation Reliability. CoRR Yusuke Yamauchi, Taro Yano, Masafumi Oyamada
2025	J	`jnl`	Best-of-∞ - Asymptotic Performance of Test-Time Compute. CoRR Junpei Komiyama, Daisuke Oba, Masafumi Oyamada
2025	—	`conf`	Can Large Language Models Invent Algorithms to Improve Themselves? NAACL (Long Papers) Yoichi Ishibashi, Taro Yano, Masafumi Oyamada
2025	J	`jnl`	Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance. CoRR Takuya Tamura, Taro Yano, Masafumi Enomoto, Masafumi Oyamada
2025	J	`jnl`	DISC: Dynamic Decomposition Improves LLM Inference Scaling. CoRR Jonathan Light, Wei Cheng, Yue Wu, Masafumi Oyamada, Mengdi Wang, Santiago Paternain, Haifeng Chen
2025	A*	`conf`	LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries. SIGIR Kenya Abe, Kunihiro Takeoka, Makoto P. Kato, Masafumi Oyamada
2025	J	`jnl`	LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries. CoRR Kenya Abe, Kunihiro Takeoka, Makoto P. Kato, Masafumi Oyamada
2025	A*	`conf`	LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents. EMNLP Taro Yano, Yoichi Ishibashi, Masafumi Oyamada
2025	J	`jnl`	LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents. CoRR Taro Yano, Yoichi Ishibashi, Masafumi Oyamada
2025	J	`jnl`	Learning Deliberately, Acting Intuitively: Unlocking Test-Time Reasoning in Multimodal LLMs. CoRR Yahan Yu, Yuyang Dong, Masafumi Oyamada
2025	J	`jnl`	Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning. CoRR Yoichi Ishibashi, Taro Yano, Masafumi Oyamada
2025	—	`conf`	On Synthesizing Data for Context Attribution in Question Answering. ACL (1) 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, Goran Glavas, Carolin Lawrence
2025	J	`jnl`	On Synthesizing Data for Context Attribution in Question Answering. CoRR 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, Goran Glavas, Carolin Lawrence
2025	J	`jnl`	SCAN: Semantic Document Layout Analysis for Textual and Visual Retrieval-Augmented Generation. CoRR Yuyang Dong, Nobuhiro Ueda, Krisztián Boros, Daiki Ito, Takuya Sera, Masafumi Oyamada
2024	J	`jnl`	Can Large Language Models Invent Algorithms to Improve Themselves? CoRR Yoichi Ishibashi, Taro Yano, Masafumi Oyamada
2024	J	`jnl`	Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering. CoRR Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada
2024	A*	`conf`	Jellyfish: Instruction-Tuning Local Large Language Models for Data Preprocessing. EMNLP Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada
2024	—	`conf`	Large Language Models as Data Preprocessors. VLDB Workshops Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada
2024	J	`jnl`	LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization. CoRR Masafumi Enomoto, Kunihiro Takeoka, Kosuke Akimoto, Kiril Gashteovski, Masafumi Oyamada
2024	A	`conf`	On the Use of Large Language Models for Table Tasks. CIKM Yuyang Dong, Masafumi Oyamada, Chuan Xiao, Haochen Zhang
2024	J	`jnl`	Optimizing Low-Resource Language Model Training: Comprehensive Analysis of Multi-Epoch, Multi-Lingual, and Two-Stage Approaches. CoRR Kosuke Akimoto, Masafumi Oyamada
2024	—	`conf`	Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers. *SEM@NAACL Taro Yano, Kunihiro Takeoka, Masafumi Oyamada
2024	J	`jnl`	Understanding the Impact of Confidence in Retrieval Augmented Generation: A Case Study in the Medical Domain. CoRR Shintaro Ozaki, Yuta Kato, Siyuan Feng, Masayo Tomita, Kazuki Hayashi, Ryoma Obara, Masafumi Oyamada, Katsuhiko Hayashi, Hidetaka Kamigaito, Taro Watanabe
2023	—	`conf`	Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering. EMNLP (Findings) Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada
2023	—	`conf`	Cross-Domain User Similarity without Overlapping Attributes via Optimal Transport Theory. eCom@SIGIR Genki Kusano, Masafumi Oyamada
2023	J	`jnl`	DeepJoin: Joinable Table Discovery with Pre-trained Language Models. Proc. VLDB Endow. Yuyang Dong, Chuan Xiao, Takuma Nozawa, Masafumi Enomoto, Masafumi Oyamada
2023	J	`jnl`	Jellyfish: A Large Language Model for Data Preprocessing. CoRR Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada
2023	J	`jnl`	Large Language Models as Data Preprocessors. CoRR Haochen Zhang, Yuyang Dong, Chuan Xiao, Masafumi Oyamada
2023	—	`conf`	QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model. PAKDD (4) Shogo Hayashi, Yuyang Dong, Masafumi Oyamada
2023	B	`conf`	Towards Large Language Model Organization: A Case Study on Abstractive Summarization. IEEE Big Data Krisztián Boros, Masafumi Oyamada
2022	J	`jnl`	DeepJoin: Joinable Table Discovery with Pre-trained Language Models. CoRR Yuyang Dong, Chuan Xiao, Takuma Nozawa, Masafumi Enomoto, Masafumi Oyamada
2022	A*	`conf`	Table Enrichment System for Machine Learning. SIGIR Yuyang Dong, Masafumi Oyamada
2022	J	`jnl`	Table Enrichment System for Machine Learning. CoRR Yuyang Dong, Masafumi Oyamada
2021	J	`jnl`	Continuous top-k spatial-keyword search on dynamic objects. VLDB J. Yuyang Dong, Chuan Xiao, Hanxiong Chen, Jeffrey Xu Yu, Kunihiro Takeoka, Masafumi Oyamada, Hiroyuki Kitagawa
2021	A*	`conf`	Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach. ICDE Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada
2021	—	`conf`	Low-resource Taxonomy Enrichment with Pretrained Language Models. EMNLP (1) Kunihiro Takeoka, Kosuke Akimoto, Masafumi Oyamada
2021	—	`conf`	Quality Control for Hierarchical Classification with Incomplete Annotations. PAKDD (3) Masafumi Enomoto, Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Takeshi Okadome
2021	A	`conf`	User Identity Linkage for Different Behavioral Patterns across Domains. ICWSM Genki Kusano, Masafumi Oyamada
2020	J	`jnl`	Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach. CoRR Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada
2020	A*	`conf`	Learning with Unsure Responses. AAAI Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada
2019	—	`conf`	Extracting Feature Engineering Knowledge from Data Science Notebooks. IEEE BigData Masafumi Oyamada
2019	A*	`conf`	Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables. AAAI Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome
2018	—	`conf`	Accelerating Feature Engineering with Adaptive Partial Aggregation Tree. IEEE BigData Masafumi Oyamada
2018	J	`jnl`	Compressed Vector Set: A Fast and Space-Efficient Data Mining Framework. J. Inf. Process. Masafumi Oyamada, Jianquan Liu, Shinji Ito, Kazuyo Narita, Takuya Araki, Hiroyuki Kitagawa
2017	—	`conf`	Link Prediction for Isolated Nodes in Heterogeneous Network by Topic-Based Co-clustering. PAKDD (1) Katsufumi Tomobe, Masafumi Oyamada, Shinji Nakadai
2017	A*	`conf`	Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data. ICDM Masafumi Oyamada, Shinji Nakadai
2014	C	`conf`	MOARLE: Matrix Operation Accelerator Based on Run-Length Encoding. APWeb Masafumi Oyamada, Jianquan Liu, Kazuyo Narita, Takuya Araki
2013	Misc	`conf`	Continuous query processing with concurrency control: reading updatable resources consistently. SAC Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa
2011	—	`conf`	Efficient Invocation of Transaction Sequences Triggered by Data Streams. 3PGCIC Masafumi Oyamada, Hideyuki Kawashima, Hiroyuki Kitagawa