17 papers
Knowledge-Guided Retrieval-Augmented Generation for Zero-Shot Psychiatric Data: Privacy Preserving Synthetic Data Generation
Adam Jakobsen, Sushant Gautam, Hugo Lewi Hammer +4
AI systems in healthcare research have shown potential to increase patient throughput and assist clinicians, yet progress is constrained by limited access to real patient data. To…
Calliope: A TTS-based Narrated E-book Creator Ensuring Exact Synchronization, Privacy, and Layout Fidelity
Hugo L. Hammer, Vajira Thambawita, PÃ¥l Halvorsen
A narrated e-book combines synchronized audio with digital text, highlighting the currently spoken word or sentence during playback. This format supports early literacy and assists…
ECG-IMN: Interpretable Mesomorphic Neural Networks for 12-Lead Electrocardiogram Interpretation
Vajira Thambawita, Jonas L. Isaksen, Jørgen K. Kanters +2
Deep learning has achieved expert-level performance in automated electrocardiogram (ECG) diagnosis, yet the "black-box" nature of these models hinders their clinical deployment. Tr…
VideoHEDGE: Entropy-Based Hallucination Detection for Video-VLMs via Semantic Clustering and Spatiotemporal Perturbations
Sushant Gautam, Cise Midoglu, Vajira Thambawita +2
Hallucinations in video-capable vision-language models (Video-VLMs) remain frequent and high-confidence, while existing uncertainty metrics often fail to align with correctness. We…
HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models
Sushant Gautam, Michael A. Riegler, PÃ¥l 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…
Evaluating LLMs on Generating Age-Appropriate Child-Like Conversations
Syed Zohaib Hassan, PÃ¥l Halvorsen, Miriam S. Johnson +1
Large Language Models (LLMs), predominantly trained on adult conversational data, face significant challenges when generating authentic, child-like dialogue for specialized applica…