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Pinar E. Donmez

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#natural language process... Preprint Sep 2026

I'll Keep an Ear Out: Teaching AudioLLMs Proactive Audio Assistance

Interrupt and Silent Modeling (ISM), a model-agnostic paradigm that embeds proactive decisions into LLM decoding via two special tokens, is proposed, capturing four states: onset detection, sustained-relevance triggering, irrelevance suppression, and de-duplication.

Amit Kumar Singh Yadav, Ritvik Shrivastava, Xuan Zhang et al. · 1 citation
Jul 2026

Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness

A structured meta-rubric framework that captures the grading criteria at authoring time, and fixed mechanical rules compile it into a flat checklist of binary, machine-gradable checks that an LLM judge scores reliably at evaluation time is instantiated.

Xilun Chen, Zhaleh Feizollahi, Ross Goodwin et al. · 0 citations

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