AI RESEARCH
Representation Before Training: A Fixed-Budget Benchmark for Generative Medical Event Models
arXiv CS.LG
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ArXi:2604.16775v1 Announce Type: new Every prediction from a generative medical event model is bounded by how clinical events are tokenized, yet input representation is rarely isolated from other system and architectural choices. We evaluate how representation decisions affect downstream prediction after a shared one-epoch pre