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MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant

Paper recorded by Signals 4 on 2026-09-11 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-11 on arXiv · recorded by Signals 4 on 2026-09-14

Category: cs.AI · 人工智能 · first seen 2026-09-14

Abstract

Conversational voice agents have advanced significantly, offering increasingly natural human-machine interactions through both cascaded and end-to-end architectures. However, while recent benchmarks extensively evaluate dyadic interactions and passive audio comprehension, they largely overlook a prevalent real-world scenario: multi-party conversations. Evaluating agents in these settings is fundam

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#86 most recent of 300 cs.AI papers we have recorded · ↑ newer: Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Bench · ↓ older: Autonomous Research for Open-Ended Problems: A Case Study on Telecom T
Cite this page: MP-Bench: Evaluating Voice Agents as a Multiparty Conversation Participant: the #86 most recent of 300 cs.AI papers we have recorded (as of 2026-09-11). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mp-bench-evaluating-voice-agents-as-a-multiparty-conversation-participant.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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