Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

Khanal, Bidur; Pokhrel, Sandesh; Bhandari, Sanjay; Rana, Ramesh; Shrestha, Nikesh; Gurung, Ram Bahadur; Linte, Cristian A.; Watson, Angus J M; Shrestha, Yash Raj; Bhattarai, Binod

Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models

dc.contributor.author	Khanal, Bidur
dc.contributor.author	Pokhrel, Sandesh
dc.contributor.author	Bhandari, Sanjay
dc.contributor.author	Rana, Ramesh
dc.contributor.author	Shrestha, Nikesh
dc.contributor.author	Gurung, Ram Bahadur
dc.contributor.author	Linte, Cristian A.
dc.contributor.author	Watson, Angus J M
dc.contributor.author	Shrestha, Yash Raj
dc.contributor.author	Bhattarai, Binod
dc.contributor.institution	University of Aberdeen.Other Applied Health Sciences	en
dc.contributor.institution	University of Aberdeen.Computing Science	en
dc.date.accessioned	2025-07-01T14:44:01Z
dc.date.available	2025-07-01T14:44:01Z
dc.date.embargoedUntil	2026-09-27
dc.date.issued	2025-06-22
dc.description	Submission history [v1] Sun, 11 May 2025 14:54:11 UTC (5,502 KB) [v2] Sun, 22 Jun 2025 20:58:41 UTC (5,502 KB) All accepted papers will be made available by Springer's Lecture Notes in Computer Science no earlier than two weeks prior to the conference.	en
dc.description.status	Peer reviewed	en
dc.format.extent	13
dc.format.extent	7441846
dc.identifier	305345665
dc.identifier	80d92362-f487-4c86-b9d5-4a7480c9ec85
dc.identifier.citation	Khanal, B, Pokhrel, S, Bhandari, S, Rana, R, Shrestha, N, Gurung, R B, Linte, C A, Watson, A J M, Shrestha, Y R & Bhattarai, B 2025, 'Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models', Paper presented at 28th International Conference On Medical Image Computing And Computer Assisted Intervention, Daejon, Korea, Republic of, 23/09/25 - 27/09/25. https://doi.org/10.48550/arXiv.2505.07001	en
dc.identifier.citation	conference	en
dc.identifier.doi	10.48550/arXiv.2505.07001
dc.identifier.uri	https://hdl.handle.net/2164/25656
dc.identifier.url	https://conferences.miccai.org/2025/en/	en
dc.language.iso	eng
dc.subject	Substantive connection via an eligible employment contract	en
dc.subject	multimodal data	en
dc.subject	Gastrointestinal image analysis	en
dc.subject	Vision Language Model	en
dc.subject	Hallucination	en
dc.subject	Hallucination-aware finetuning	en
dc.subject	QA75 Electronic computers. Computer science	en
dc.subject.lcc	QA75	en
dc.title	Hallucination-Aware Multimodal Benchmark for Gastrointestinal Image Analysis with Large Vision-Language Models	en
dc.type	Conference paper	en

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