Knowledge-Based Distant Regularization in Learning Probabilistic Models. - Naoya Takeishi; Kosuke Akimoto (CoRR, 2018)

Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas. - Kosuke Akimoto; Takuya Hiraoka; Kunihiko Sadamasa; Mathias Niepert (EMNLP/IJCNLP (1), 2019)

POCO: A Voice Spoofing and Liveness Detection Corpus Based on Pop Noise. - Kosuke Akimoto; Seng Pei Liew; Sakiko Mishima; Ryo Mizushima; Kong Aik Lee (INTERSPEECH, 2020)

Learning Directly from Grammar Compressed Text. - Yoichi Sasaki 002; Kosuke Akimoto; Takanori Maehara (CoRR, 2020)

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

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

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

Optimizing Low-Resource Language Model Training: Comprehensive Analysis of Multi-Epoch, Multi-Lingual, and Two-Stage Approaches. - Kosuke Akimoto; 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)

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