Research paper

Cache-to-Cache learns projections that fuse a source model's KV cache into a receiver, letting paired language models exchange latent state without generating intermediate text.

KV Cache Transform Coding applies learned decorrelation, adaptive quantization, and entropy coding to reduce storage and transfer costs for reusable language-model KV caches.

ZeroSearch trains a language model to use search-like reasoning while another model simulates retrieval results, removing live search API calls from reinforcement-learning rollouts.