DuplexSpeechBench-Document Grounding: Benchmarking Document Grounding and Hallucinations in Voice Agents

arXiv:2610.00316 · cs.CL, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/hexgrad/kokoro

Project page: https://dsb-dg.github.io/Abstract

Terminology

Grounding — 136× in this paper · explained in 3 episodes
Benchmark — 46× in this paper · explained in 2 episodes
Hallucination — 31× in this paper · explained in 3 episodes
Accuracy — 26× in this paper · explained in 1 episode
Grounding Accuracy — 13× in this paper
Failure Modes — 8× in this paper · explained in 3 episodes
Hallucination Rate — 8× in this paper
Verification — 8× in this paper · explained in 2 episodes
Abstention — 6× in this paper · explained in 1 episode
Core — 6× in this paper · explained in 2 episodes
Benchmarking — 5× in this paper · explained in 3 episodes
Consistency — 4× in this paper · explained in 3 episodes
Fidelity — 4× in this paper · explained in 2 episodes
First-Token Emission Delay — 4× in this paper
RAG — 4× in this paper · explained in 3 episodes
Robustness — 4× in this paper · explained in 5 episodes
Grounding Decay Score — 3× in this paper
Aggregation — 2× in this paper · explained in 1 episode
KV cache — 2× in this paper · explained in 3 episodes
LLM judge — 2× in this paper · explained in 2 episodes
Provenance — 2× in this paper · explained in 3 episodes
Quality-Adjusted Latency — 2× in this paper
Transformer — 2× in this paper · explained in 2 episodes
AUC — 1× in this paper · explained in 2 episodes
Foundation Model — 1× in this paper · explained in 3 episodes

Sources

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