A new hallucination-annotated GI image-text dataset and a detect-then-correct finetuning strategy improve VLM report scores over standard finetuning on Kvasir-v2 images.
Gas- troenterology 159(1), 335–349 (2020) 10 Khanal, Pokhrel, Bhandari et al
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models
A new hallucination-annotated GI image-text dataset and a detect-then-correct finetuning strategy improve VLM report scores over standard finetuning on Kvasir-v2 images.