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K. Dinh

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Book Open access Jul 2026

Audience-Customized Translation of Rule-Based Evidence with Large Language Models Across Multiplexer Benchmarks

The results suggest that constrained LLM translation of rules for natural language prediction explanations is feasible, while highlighting the importance of carefully designing the LLM prompts and evidence input from the ERBML.

H. Bandhey, Gabriel Lipschutz-Villa, K. Dinh et al. · 0 citations

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