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City University of Hong Kong
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Few labels per question are sufficient for near-optimal recalibration when information is pooled across related tasks, with identification regret decaying exponentially with label count.
Hyper-connections create a fading memory in Transformers, with the effective context horizon directly tied to the second singular value of the stream-mixing matrices.
