Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers. - Taro Yano; Kunihiro Takeoka; Masafumi Oyamada (*SEM@NAACL, 2024)

Can Large Language Models Invent Algorithms to Improve Themselves? - Yoichi Ishibashi; Taro Yano; Masafumi Oyamada (NAACL (Long Papers), 2025)

Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance. - Takuya Tamura; Taro Yano; Masafumi Enomoto; Masafumi Oyamada (CoRR, 2025)

Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning. - Yoichi Ishibashi; Taro Yano; Masafumi Oyamada (CoRR, 2025)

LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents. - Taro Yano; Yoichi Ishibashi; Masafumi Oyamada (CoRR, 2025)

An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation Reliability. - Yusuke Yamauchi; Taro Yano; Masafumi Oyamada (CoRR, 2025)