Auto-regressive models have emerged as powerful tools for sequential data, from language to video. Understanding how and why these models learn latent representations remains an open theoretical quest...

Large-scale search, recommendation, and retrieval-augmented generation (RAG) systems typically employ a two-stage architecture: an early-stage ranker (ESR) generates a candidate set, which is subseque...

2026 ESIF Economics and AI+ML Meeting (ESIF-AIML2026) June 16-17, 2026 Cornell University Department...