10 citations · 16 across the 11 of their papers we have counts for
5 papers · 1 filter
HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models
Sushant Gautam, Michael A. Riegler, Pål Halvorsen
Vision-language models (VLMs) enable open-ended visual question answering but remain prone to hallucinations. We present HEDGE, a unified framework for hallucination detection that…
Using Large Language Models to Suggest Informative Prior Distributions in Bayesian Statistics
Michael A. Riegler, Kristoffer Herland Hellton, Vajira Thambawita +1
Selecting prior distributions in Bayesian statistics is challenging, resource-intensive, and subjective. We analyze using large-language models (LLMs) to suggest suitable, knowledg…
Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy
Sushant Gautam, Michael A. Riegler, Pål Halvorsen
Medical Visual Question Answering (MedVQA) is a promising field for developing clinical decision support systems, yet progress is often limited by the available datasets, which can…
Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models
Sushant Gautam, Michael A. Riegler, Pål Halvorsen
We investigate fine-tuning Vision-Language Models (VLMs) for multi-task medical image understanding, focusing on detection, localization, and counting of findings in medical images…
SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding
Sushant Gautam, Cise Midoglu, Vajira Thambawita +3
The integration of artificial intelligence in sports analytics has transformed soccer video understanding, enabling real-time, automated insights into complex game dynamics. Tradit…