This paper evaluates how multimodal large language models use intermediate visual states during reasoning and finds that these visual states are not as crucial as previously thought, but can still impact model performance under certain conditions. Practitioners might care because understanding how these models use visual states can help improve their performance and reliability.
Firehose
Filtered to tagged “intermediate states” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives
Browse by tag
artificial intelligence 57continual learning 24agentic coding 21open-weight models 20AI 16AI agents 13reinforcement learning 11cybersecurity 9AI safety 8finance 8language models 7large language models 7open-source 7productivity 7deep learning 6machine learning 6natural language processing 6Reinforcement learning 6tech 6Databricks 5robotics 5software development 5Agentic AI 4benchmarking 4Diffusion models 4multi-agent systems 4Recursive self-improvement 4world models 4AI ethics 3AI infrastructure 3