multimodal large language models

A new arXiv paper (2609.10613v1) proposes a posterior reweighting framework that models safety-aligned multimodal large language models (MLLMs) as implicitly operating over competing behavioral modes,…

Researchers introduced Counterfactual Modality Attribution (CMA), the first framework for quantifying modality-level contributions in multimodal large language models (MLLMs), which identifies the dec…

A new diagnostic framework called Spatial-IQ, introduced by researchers using NVIDIA Isaac Sim, decomposes object counting in stacked 3D structures into 9 perceptual and cognitive sub-tasks to evaluat…