ICML 2026
Apple Researchers Train Neural Networks to Speed Up RAG Retrieval
Apple researchers have presented a machine learning approach that uses small neural networks to route queries toward better matches faster in retrieval systems…
Rebellions targets 4-bit reasoning errors with its ReQAT method
Rebellions and Hanyang University have presented ReQAT, a quantization-aware training framework designed to help reasoning models retain accuracy when weights…