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Found 5 papers, 2 papers with code
Tur[k]ingBench: A Challenge Benchmark for Web Agents
We evaluate the performance of state-of-the-art models, including language-only, vision-only, and layout-only models, and their combinations, on this benchmark.
Case Study: Testing Model Capabilities in Some Reasoning Tasks
Large Language Models (LLMs) excel in generating personalized content and facilitating interactive dialogues, showcasing their remarkable aptitude for a myriad of applications.
Improving Agent Interactions in Virtual Environments with Language Models
Enhancing AI systems with efficient communication skills for effective human assistance necessitates proactive initiatives from the system side to discern specific circumstances and interact aptly.
Physics Driven Domain Specific Transporter Framework with Attention Mechanism for Ultrasound Imaging
Also, on employing for classification of the given lung image into normal and abnormal classes, the proposed approach, even with no prior training, achieved an average accuracy of 97\% and an average F1-score of 95\% respectively on the task of co-classification with 3 fold cross-validation.
Domain Specific Transporter Framework to Detect Fractures in Ultrasound
Saliency of keypoints detected in the image\ are compared against manual assessment based on distance from relevant features. The transporter neural network was able to accurately detect 180 out of 250 bone regions sampled from wrist ultrasound videos.
