multimodal large language models

Researchers introduce SPARROW, a technique that improves how AI models track and identify objects in videos with greater spatial precision and tempora

Researchers have developed a novel framework to evaluate how well multimodal AI models truly reason about ECG signals, separating perception from dedu

Researchers have developed EMO-R3, a novel framework that enhances emotional reasoning in multimodal AI systems. Using reflective reinforcement learni

Chinese AI startup Moonshot AI is seeking a $10 billion valuation in expanded funding backed by Alibaba and Tencent, positioning itself as a formidabl

New research reveals that compressing multimodal AI models through quantization significantly reduces their reliability, making them more likely to pr

Researchers introduce VisPhyWorld, a novel framework that evaluates AI's physical reasoning by requiring models to generate executable simulator code

New research reveals a critical flaw in multi-agent LLM systems: while they excel in sequential tasks, they fail catastrophically when decisions must