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S. Nemala

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EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents

EVA-Bench is presented, an end-to-end evaluation framework that addresses realistic conversation simulation and comprehensive voice-specific evaluation and introduces two composite metrics: EVA-A (Accuracy) and EVA-X (Experience).

Tara Bogavelli, Gabrielle Gauthier Melançon, Katrina Stankiewicz et al. · 17 citations · ⚡2
Preprint Aug 2026

StarHarness: Evolving Harnesses with Stratified Search for Enterprise Environments

StarHarness offers a practical way to reduce persistent model-environment mismatch in tool-rich enterprise tasks by stratifying tasks according to baseline failure behavior, separating proposer-visible search tasks from proposer-hidden selection tasks, and reserves held-out tasks for evaluating generalization.

Esakkivel Esakkiraja, D. Akhiyarov, Vikas Yadav et al. · 1 citation

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