Tiny per‑option encoders beat larger joints
Thirty‑two‑million‑parameter per‑option encoders now outperform larger joint models on closed‑set decision benchmarks [1] . The surprise is that a tiny per‑option reader beats a monolithic scorer even when the latter has an order of magnitude more parameters. Until recently, practitioners have lean…
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- 2026-11-08 06:00 · DEV Community — Machine Learning
Tiny per‑option encoders beat larger joints