3 papers
cs.CL2025
User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents
Andrés Carvallo, Denis Parra, Peter Brusilovsky +4
The attention mechanism is a core component of the Transformer architecture. Beyond improving performance, attention has been proposed as a mechanism for explainability via attenti…
astro-ph.EP2025
Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm
Helem Salinas, Rafael Brahm, Greg Olmschenk +4
The Transiting Exoplanet Survey Satellite (TESS) is surveying a large fraction of the sky, generating a vast database of photometric time series data that requires thorough analysi…
cs.CV2025
EAGLE: Enhanced Visual Grounding Minimizes Hallucinations in Instructional Multimodal Models
Andrés Villa, Juan León Alcázar, Motasem Alfarra +3
Large language models and vision transformers have demonstrated impressive zero-shot capabilities, enabling significant transferability in downstream tasks. The fusion of these mod…