4 papers · 1 filter
Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation
Damiano Marsili, Raphi Kang, Aditya Mehta +2
Mixture-of-Experts (MoE) architectures scale model capacity through sparse computation, routing each token through only a small subset of experts. In this work, we explore whether…
No Labels, No Problem: Training Visual Reasoners with Multimodal Verifiers
Damiano Marsili, Georgia Gkioxari
Visual reasoning is challenging, requiring both precise object grounding and understanding complex spatial relationships. Existing methods fall into two camps: language-only chain-…
Same or Not? Enhancing Visual Perception in Vision-Language Models
Damiano Marsili, Aditya Mehta, Ryan Y. Lin +1
Vision-language models (VLMs) excel at broad visual understanding but remain coarse-grained, exhibit visual biases, and miss subtle visual details. Existing training corpora reinfo…
Visual Agentic AI for Spatial Reasoning with a Dynamic API
Damiano Marsili, Rohun Agrawal, Yisong Yue +1
Visual reasoning -- the ability to interpret the visual world -- is crucial for embodied agents that operate within three-dimensional scenes. Progress in AI has led to vision and l…