arXiv: Training Long-Context Vision-Language Models to Generalize Beyond 128K Context (ByteDance Seed)
arXiv / HuggingFace Daily Papers·medium signal
ByteDance Seed published methods for training vision-language models that effectively handle and generalize beyond 128K token context windows (2605.13831). This addresses a key limitation for multimodal agents that need to process long documents with images, charts, and diagrams. For builders working on document understanding or multimodal RAG, this pushes the practical context boundary for vision-language workloads.