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multimodal-foundation-models

topic2 events
papersTODAY 04:00 UTC

Language-Guided Multimodal Foundation Model Targets Brain Signal Analysis

Researchers posted a preprint describing a multimodal foundation model that uses language guidance to handle brain signal analysis without task-specific retraining. The approach is presented as supporting zero-shot and multi-task settings, addressing limited generalization in existing end-to-end and pre-trained models. The work appears on arXiv under cs.AI and cs.LG.

arxiv/foundation-models/multimodal/neuroscience
papersTODAY 04:00 UTC

Survey Reviews Causes, Corrections and Evaluation of Hallucination in Multimodal AI Models

A revised arXiv paper surveys research on hallucination in multimodal foundation models, focusing on large vision-language models. It organizes the literature around why these errors occur, methods proposed to reduce them, and how they are measured. The authors frame the work as a structured overview connecting causes, corrections and evaluation practices.

hallucination/multimodal/vision-language/evaluation