Author

Hari Thadakamalla

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#natural language process... Preprint Oct 2026

PersEvalBench: Can LLM Evaluators Judge Contextually Appropriate Use of Persona Information?

Large language model (LLM) evaluators are increasingly used to assess personalized assistants, yet whether they can reliably judge personalization has rarely been tested. We introduce PersEvalBench, a benchmark testing whether an evaluator can recognize appropriate and inappropriate uses of user history. It contains 40...

Xin-Yi Liu, H. Nayyeri, Emine Yilmaz et al. · 0 citations

Preprint Aug 2026

Hear2Act: Benchmarking When Prosody Should Change What an Assistant Does

Hear2Act is introduced, a unified evaluation protocol for text and spoken assistants with 480 persona-grounded scenarios, hidden user concerns, and objectively verifiable outcomes that show that prosody matters when lexical evidence is insufficient, and that audio-capable LLMs can recover information from speech but do...

Xin-Yi Liu, H. Nayyeri, Dilek Hakkani-Tur et al. · 3 citations · ⚡1