Kunihiro Takeoka

According to our database, Kunihiro Takeoka authored at least 13 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLM-based Query Expansion Fails for Unfamiliar and Ambiguous Queries.

Kenya Abe, Kunihiro Takeoka, Makoto P. Kato, Masafumi Oyamada

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation.

Genki Kusano, Kosuke Akimoto, Kunihiro Takeoka

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

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, Goran Glavas, Carolin Lawrence

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Are Longer Prompts Always Better? Prompt Selection in Large Language Models for Recommendation Systems.

Genki Kusano, Kosuke Akimoto, Kunihiro Takeoka

CoRR, 2024

LightPAL: Lightweight Passage Retrieval for Open Domain Multi-Document Summarization.

Masafumi Enomoto, Kunihiro Takeoka, Kosuke Akimoto, Kiril Gashteovski, Masafumi Oyamada

CoRR, 2024

Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers.

Taro Yano, Kunihiro Takeoka, Masafumi Oyamada

Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024

2023

Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering.

Kosuke Akimoto, Kunihiro Takeoka, Masafumi Oyamada

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Continuous top-k spatial-keyword search on dynamic objects.

Yuyang Dong, Chuan Xiao, Hanxiong Chen, Jeffrey Xu Yu, Kunihiro Takeoka, Masafumi Oyamada, Hiroyuki Kitagawa

VLDB J., 2021

Quality Control for Hierarchical Classification with Incomplete Annotations.

Masafumi Enomoto, Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada, Takeshi Okadome

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Efficient Joinable Table Discovery in Data Lakes: A High-Dimensional Similarity-Based Approach.

Yuyang Dong, Kunihiro Takeoka, Chuan Xiao, Masafumi Oyamada

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Low-resource Taxonomy Enrichment with Pretrained Language Models.

Kunihiro Takeoka, Kosuke Akimoto, Masafumi Oyamada

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning with Unsure Responses.

Kunihiro Takeoka, Yuyang Dong, Masafumi Oyamada

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Meimei: An Efficient Probabilistic Approach for Semantically Annotating Tables.

Kunihiro Takeoka, Masafumi Oyamada, Shinji Nakadai, Takeshi Okadome

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019