Sign inGet started
Dataset · Hugging Face

psp-dada/SENTINEL

Dataset Card for ICCV 2025 | SENTINEL:Mitigating Object Hallucinations via Sentence-Level Early Intervention Paper Abstract Multimodal large language models (MLLMs) have revolutionized cross-modal understanding but continue to struggle with hallucinations - fabricated content contradicting visual inputs. Existing hallucination mitigation methods either incur prohibitive computational costs or introduce distribution mismatches between training data… See the full description on the dataset page: https://huggingface.co/datasets/psp-dada/SENTINEL.

Author / organizationpsp-dada
License (as declared)apache-2.0
Downloads247 (as reported by Hugging Face)
Likes2
Created10 July 2025
Last updated at source2 July 2026
multimodal-llmhallucination-mitigationpreference-learningRLHFimage-captioningcomputer-visionnatural-language-processing
Embed this entry
<iframe src="https://silytics.si/embed/item/c006344a-1357-4da3-bfca-35e33c53ca98" 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

247 now (-17 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

More from psp-dada

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 Information may be incomplete or out of date.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.