Kunihiro Takeoka

19 papers A* 4A 1Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Are Large Language Models Really Effective for Training-Free Cold-Start Recommendation?
CoRR
Genki Kusano, Kenya Abe, Kunihiro Takeoka
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 — 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 A conf
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation.
RecSys
Genki Kusano, Kosuke Akimoto, Kunihiro Takeoka
2025 J jnl
Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation.
CoRR
Genki Kusano, Kosuke Akimoto, Kunihiro Takeoka
2024 J jnl
Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems.
CoRR
Genki Kusano, Kosuke Akimoto, Kunihiro Takeoka
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 J jnl
LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization.
CoRR
Masafumi Enomoto, Kunihiro Takeoka, Kosuke Akimoto, Kiril Gashteovski, Masafumi Oyamada
2024 — conf
Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers.
*SEM@NAACL
Taro Yano, Kunihiro Takeoka, Masafumi Oyamada
2023 — conf
Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering.
EMNLP (Findings)
Kosuke Akimoto, Kunihiro Takeoka, 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
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 A* conf
Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables.
AAAI
Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome