Author

Vilém Zouhar

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#human-computer interacti... Preprint Sep 2026

Calibrating LLM Judges for Human and AI Conversations

This work evaluates state-of-the-art LLMs as pointwise and pairwise judges of conversational success on CANDOR, finding pointwise scoring correlates moderately with human ratings, while pairwise comparison suffers from long transcripts and positional bias.

Maike Zufle, Patrícia Schmidtová, Vilém Zouhar et al. · 0 citations

#natural language process... May 2026

Why We Need Speech to Evaluate Speech Translation

It is argued that progress requires dedicated speech-specific training data and models that genuinely condition on speech, and both text- and speech-based quality estimation metrics on two contrastive datasets targeting gender agreement and prosody fall short.

Maike Zufle, Danni Liu, Vilém Zouhar et al. · arXiv.org · 1 citation