AI
Geo-VLA: Geometry-Aware Vision-Language-Action Planning via Internalization of Map Semantics
Researchers propose Geo-VLA, a framework that enhances vision-language-action models for autonomous ...
AI
Constructing Predictive Surgical Path for AI-based Capsulorhexis Skill Transfer
Researchers propose a platform that uses AI to suggest improved surgical paths for novice surgeons d...
AI
FigmaTrace: Capturing Creative Nuances in Human Figma Design Workflows
Researchers have developed a dataset called FigmaTrace that captures the nuances of human design wor...
AI
CyrillicQA: The Influence of Phonetically Encoded Secret Language on LLM Performance
Researchers have explored how large language models (LLMs) perform on inputs from languages using no...
AI
Complexity Induction: Compositional Generalization via Structured Label Distortion
Researchers have found a way to improve a standard CNN classifier's ability to g...
AI
Reliability- and Anatomy-Consistency-Aware Multimodal Learning for Robust Fracture Classification from Bangladeshi Radiographs
Researchers have developed a new method for classifying fractures in radiographs...
AI
TASSO: TAsk-Specific Subspace Optimization for Continual Learning of Vision-Language Models
Researchers have proposed a new method for training vision-language models that ...
AI
KAN-Robust-Bench: A Benchmark for Evaluating the Robustness of Kolmogorov-Arnold Networks
Researchers have proposed a new benchmark for evaluating the robustness of Kolmo...