arXiv:2606.11853v1 Announce Type: cross Abstract: Multi-modal large language models (MLLMs) depend on in-context learning (ICL) for rapid task adaptation, but their scalability is severely limited by finite context windows and the growing cost of key-value (KV) caches in long multi-modal sequences. Existing memory compression approaches typically...
Læs hele artiklen hos kilden.
Kommentarer (0)
Ingen kommentarer ennå. Bli den første til å kommentere!