Data Party THU
Jul 2, 2026 · Artificial Intelligence
Multi-Task Bayesian In-Context Learning: Transformers Adapt to New Priors
The ICML 2026 paper reframes in‑context learning as approximate Bayesian inference, introduces explicit prior datasets as a context prefix for Transformers, and demonstrates through synthetic and real‑world experiments that this multi‑task approach closely matches Bayesian oracles while offering fast, controllable inference.
Bayesian InferenceICML 2026In-Context Learning
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