Tootfinder

Reasoning Riddles: How Explainability Reveals Cognitive Limits in Vision-Language Models
Prahitha Movva
https://arxiv.org/abs/2510.02780 https://arxiv.org/…

Reasoning Riddles: How Explainability Reveals Cognitive Limits in Vision-Language Models
Vision-Language Models (VLMs) excel at many multimodal tasks, yet their cognitive processes remain opaque on complex lateral thinking challenges like rebus puzzles. While recent work has demonstrated these models struggle significantly with rebus puzzle solving, the underlying reasoning processes and failure patterns remain largely unexplored. We address this gap through a comprehensive explainability analysis that moves beyond performance metrics to understand how VLMs approach these complex l…

Eye-Tracking and BCI Integration for Assistive Communication in Locked-In Syndrome: Pilot Study with Healthy Participants
Ana Patr\'icia Pinto, Rute Bettencourt, Urbano J. Nunes, Gabriel Pires
https://arxiv.org/abs/2509.23518

Eye-Tracking and BCI Integration for Assistive Communication in Locked-In Syndrome: Pilot Study with Healthy Participants
Patients with Amyotrophic Lateral Sclerosis (ALS) progressively lose voluntary motor control, often leading to a Locked-In State (LIS), or in severe cases, a Completely Locked-in State (CLIS). Eye-tracking (ET) systems are common communication tools in early LIS but become ineffective as oculomotor function declines. EEG-based Brain-Computer Interfaces (BCIs) offer a non-muscular communication alternative, but delayed adoption may reduce performance due to diminished goal-directed thinking. Thi…