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InteractionBench: Measuring Timing, Task Accuracy, Whisper and Volume, and Grounding in Real-Time Voice Systems

Paper recorded by Signals 4 on 2026-11-02 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.CL · 自然语言处理 · first seen 2026-11-03

Abstract

Most benchmarks for real-time voice systems focus on one aspect, such as turn-taking, instruction following, paralinguistic control, or conversational memory, each with its own data and set of systems. We present InteractionBench, a benchmark and evaluation harness that measures four dimensions on the same systems from the same recorded user audio: conversational timing, spoken-task accuracy, whis

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#36 most recent of 628 cs.CL papers we have recorded · ↑ newer: Diagnosing Model--Item Interactions in Language Model Benchmarks with · ↓ older: When Rewards Depend on the Group, GRPO Plays a Tournament
Cite this page: InteractionBench: Measuring Timing, Task Accuracy, Whisper and Volume, and Grounding in Real-Time Voice Systems: the #36 most recent of 628 cs.CL papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/interactionbench-measuring-timing-task-accuracy-whisper-and-volume-and-grounding.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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