Nature

Attention re-alignment in multimodal large language models via intermediate-layer guidance

Multimodal large language models (MLLMs) have achieved impressive performance in understanding and describing visual content, setting new state-of-the-art results on a variety of visual question ...
Nature

Evaluating multimodal commercial and open-source large language models for dynamical astronomy: a benchmark study of resonant behavior classification

Machine learning has been used in astronomy for many years. Classical methods such as k-nearest neighbors, decision trees, random forests, or gradient boosting have helped classify images, detect ...
Forbes

The Rise Of The Multimodal LLM

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Illustration of abstract stream. Artificial intelligence. Big data, technology, AI, data ...
Tech Times

CVPR 2026 Breaks Records: Multimodal AI Doubles Share as 4,089 Papers Rewrite Field Direction

CVPR 2026 opened Friday in Denver with a record 16,092 submissions and 4,089 accepted papers — a 42% jump — as ...
AASTOCKS.com

BABA-W's Qwen Large Model Launches Qwen3.7-Plus Multimodal Agent Model

Short selling $1.38B; Ratio 17.282% 's Qwen large model announced the official launch of Qwen3.7-Plus, a multimodal model that integrates vision a ...

Google unveils Gemma 4 12B, a multimodal AI model designed to run on laptops with 16GB of memory

Google’s Gemma 4 12B brings advanced multimodal AI and long-context reasoning to enterprise laptops with just 16GB of memory ...