Get started
Author

Taro Yano

Observed name: Yano, Taro
Institution: NEC (Japan)
Observed institution: NEC (Japan)
OpenAlex ID: A5112284263
An Empirical Study of LLM-as-a-Judge: How Design Choices Impact Evaluation Reliability
2026 · Yusuke Yamauchi, Taro Yano, et al. · Workshop on Generation, Evaluation and Metrics (GEM) · 4
PDF
Tail Competition Explains Scaling in Best-of-N Sampling for Verifiable Problems
2026 · Yano, Taro, Ishibashi, Yoichi, et al. · arXiv (Cornell University)
PDF
Effective Harness Engineering for Algorithm Discovery with Coding Agents
2026 · Ishibashi, Yoichi, Yano, Taro, et al. · arXiv (Cornell University)
PDF
Mining Hidden Thoughts from Texts: Evaluating Continual Pretraining with Synthetic Data for LLM Reasoning
2025 · Ishibashi, Yoichi, Yano, Taro, et al. · arXiv (Cornell University)
PDF
Can a Crow Hatch a Falcon? Lineage Matters in Predicting Large Language Model Performance
2025 · Tamura, Takuya, Yano, Taro, et al. · arXiv (Cornell University)
PDF
Can Large Language Models Invent Algorithms to Improve Themselves?
2025 · Yoichi Ishibashi, Taro Yano, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
PDF
LaMDAgent: An Autonomous Framework for Post-Training Pipeline Optimization via LLM Agents
2025 · Taro Yano, Yoichi Ishibashi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
Can Large Language Models Invent Algorithms to Improve Themselves?: Algorithm Discovery for Recursive Self-Improvement through Reinforcement Learning
2024 · Ishibashi, Yoichi, Yano, Taro, et al. · arXiv (Cornell University)
PDF
Relevance, Diversity, and Exclusivity: Designing Keyword-augmentation Strategy for Zero-shot Classifiers
2024 · Taro Yano, Kunihiro Takeoka, et al. · Joint Conference on Lexical and Computational Semantics
PDF
Zero-shot text classification using hierarchical novelty detection.
2021 · Taro Yano · The Japanese Society for Artificial Intelligence
Works count: 10
Citation count: 4
H-index: 1
I10-index:
Year
Topic
Type