Search Results for author:
Found 5 papers, 4 papers with code
Magistral
We introduce Magistral, Mistral's first reasoning model and our own scalable reinforcement learning (RL) pipeline.
Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
The structure is then rendered to produce an output image (e. g., rendered webpage), which is compared against the input image to produce a similarity score.
VHELM: A Holistic Evaluation of Vision Language Models
Current benchmarks for assessing vision-language models (VLMs) often focus on their perception or problem-solving capabilities and neglect other critical aspects such as fairness, multilinguality, or toxicity.
Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Multi-task reinforcement learning could enable robots to scale across a wide variety of manipulation tasks in homes and workplaces.
A Skeleton-based Approach For Rock Crack Detection Towards A Climbing Robot Application
A new group of metrics, LineAcc, has been proposed for thin object segmentation such that the impact of the object width on the score is minimized.
