Nam H. Nguyen

Redundant chunks in RAG systems can be reduced by nearly 10% without sacrificing detail, all while speeding up retrieval processes by 27%.

LLMs can now forecast time series with state-of-the-art accuracy by explicitly disentangling temporal information and conditioning the model at multiple depths, all while keeping the parameter budget low.