Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning
A new survey paper details the emerging field of Test-Time Scaling (TTS) for Multimodal Foundation Models (MFMs). The paper categorizes existing TTS methods into sampling-based, feedback-based, and search-based approaches. It also outlines common applications, benchmarks, and future research directions for enhancing MFM performance in generation and reasoning tasks. AI
IMPACT Provides a structured overview and taxonomy for multimodal AI scaling research, guiding future development.