Dongqi Cai

LLMs can achieve superior KV cache compression by intelligently allocating quantization budgets between layer-wise and token-wise strategies, outperforming uniform or single-granularity approaches.

A latent world model slashes navigation planning costs by 128x while boosting real-robot success rates from 43% to 83% in unseen environments.