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Meng-Zhe Geng

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Preprint Sep 2026

VoxReason: Auditing Source-Grounded Speech Plans Before Synthesis

Plan accuracy alone cannot show whether a speech-delivery decision follows its source: a fixed prior may match the original label yet fail to respond appropriately when a cue changes. VoxReason provides a 100-case verifier benchmark that holds each utterance fixed, edits one designated source-label cue, and scores cite...

Meng-Zhe Geng · 0 citations
#natural language process... Preprint Sep 2026

When Does a Spoken Agent Have Enough Evidence to Act? The PACT-SLM Contract Test

Streaming spoken agents may produce the correct final action after acting too early. Final-turn scores do not reveal whether each observed speech prefix supports an exposed action. We introduce the Partial Speech Action Contract for Turn Taking in Speech Language Models (PACT-SLM), a controlled test that assigns the fi...

Meng-Zhe Geng · 0 citations
#natural language process... Preprint Sep 2026

Text Scores Do Not Establish Performance on Lexically Non-Diagnostic Speech Tasks: A Qwen2-Audio Quantization Case Study

Text-output scores alone do not show whether quantization preserves performance on speech tasks whose target labels cannot be recovered from the transcript. We evaluate fixed mixed 4/8-bit Qwen2-Audio-7B-Instruct allocations averaging 6 and 7 bits per parameter on 508 English-to-German FLEURS utterances and on 512 RAVD...

Meng-Zhe Geng, Jin-Xin Ji, Jun-Hao Xu · 0 citations
#natural language process... Preprint Sep 2026

From Scores to Evidence: Auditable Decisions Can Improve Speech Deepfake Detection

A decision record is built with a passive detector score and a score from a probe applied to a marked copy to retain inspectable component fields while producing one scalar score for retrospective diagnosis and is not the strongest detector in this comparison.

Meng-Zhe Geng, Yu-Jia Lu, Manuela Kunz et al. · 0 citations

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