Papers by Gen Suzuki

1 papers
Aligning Black-box Language Models with Human Judgments (2025.findings-naacl)

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Challenge: Large language models (LLMs) are increasingly used as automated judges to evaluate recommendation systems, search engines, and other subjective tasks.
Approach: They propose a framework to align LLM judgments with individual human evaluators or their aggregated judgments without retraining or fine-tuning the LLM.
Outcome: The proposed framework achieves 142% improvement in agreement across 29 tasks and exceeds inter-human agreement on four out of six tasks.

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