Author

Yuta Ishimoto

2 papers indexed here

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Preprint Aug 2026

How Well Do LLMs Generate Taxonomies in the SE Domain? A Multi-perspective Evaluation Framework

It is suggested that TnT-LLM and CLIMB can be used in practical situations in the SE domain, while researchers should first assess the complexity of the generated taxonomies and their cost using a subset of the target data to decide whether to use automated methods or human experts.

Sota Nakashima, Yuta Ishimoto, Masanari Kondo et al. · 0 citations

Jul 2026

RepTran: Search-Based Repair of Transformer Models

RepTran, a search-based repair method for Transformer models, targets their feed-forward networks (FFNs), which play a central role in the architecture and suggests that RepTran is effective for enhancing the reliability of AI-enabled software.

Yuta Ishimoto, Paolo Arcaini, Fuyuki Ishikawa et al. · arXiv.org · 0 citations