Sign inGet started
Dataset · Hugging Face

zcs15/SVHalluc

SVHalluc: Benchmarking Speech-Vision Hallucination in Audio-Visual Large Language Models TL;DR: Speech content is not necessarily visual evidence. SVHalluc is the first benchmark that tests whether audio-visual large language models (AV-LLMs) can distinguish what is said from what is actually seen. SVHalluc was introduced in “SVHalluc: Benchmarking Speech-Vision Hallucination in Audio-Visual Large Language Models,” CVPR 2026. Project page Paper (arXiv) Code… See the full description on the dataset page: https://huggingface.co/datasets/zcs15/SVHalluc.

Author / organizationzcs15
License (as declared)other
Downloads1.8K (as reported by Hugging Face)
Likes0
Created16 July 2026
Last updated at source19 July 2026
audiovideomultimodalspeechhallucinationtemporal-reasoningbenchmarkyoucook2
Embed this entry
<iframe src="https://silytics.si/embed/item/158df64d-b482-4aa3-a832-5957e10bec26" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

1,813 now (+163 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

More from zcs15

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.