Recent literature uses language to build foundation models for audio. These Audio–Language Models (ALMs) are trained on a vast number of audio–text pairs and show remarkable performance in tasks ...
But Why is a show led by kids. They ask the questions and we find the answers. It’s a big interesting world out there. On But Why, we tackle topics large and small, about nature, words, even the end ...
Alzheimer’s Disease Analysis Model Generation 1 (ADAM-1) is a multi-agent reasoning large language model (LLM) framework designed to integrate and analyze multimodal data, including microbiome ...
We present FSD (From Seeing to Doing) with: Embodied-FSD Model: We develop FSD, a novel vision-language model that generates intermediate representations through spatial relationship reasoning, ...
Abstract: The knowledge-based visual question answering (KB-VQA) task involves using external knowledge about the image to assist reasoning. Building on the impressive performance of multimodal large ...
PAPO, a novel policy gradient algorithm that enhances multimodal reasoning through visually grounded optimization. PAPO can serve as a direct drop-in replacement for GRPO or DAPO without any ...
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