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Máté Metzger

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#natural language process... Preprint Sep 2026

When Do Agents Help? Embedding, LLM and Agentic Alignment of Classical Texts and Their Translations

Generative workflows improve structural reliability and reduce judged defects on short passages, while their large recovery advantage on long documents disappears after chunking, suggesting that reference recovery alone understates alignment quality.

Máté Metzger · 0 citations

#natural language process... Review Sep 2026

Can We Triage LLM Translation Errors in Classical Texts Without Human References? Source Novelty, GEMBA Scoring, and Budgeted Review through Pali-to-English Translation

A budgeted workflow is proposed, combining source novelty, peer disagreement, and stronger candidate-aware judging to allocate human review through Pali-to-English translation, indicating that evaluator strength matters beyond the prompt alone.

Máté Metzger · 1 citation