Tag

recursive computation

Recursive computation reuses the same model or module across repeated passes over internal representations, trading extra depth for lower parameter, token, and memory costs. It shows up in multi-agent setups, deeper LLM inference, and attention designs that try to limit KV cache growth.

1 articles

Research/Apr 2

Universal YOCO aims to scale depth without cache bloat

YOCO-U mixes recursive computation with efficient attention to scale LLM depth while keeping inference overhead and KV cache growth in check.