Submitted by olmec-akeru t3_z6p4yv
/f/MachineLearning
Submitted by mrx-ai t3_zgr7nr
[R] [N] In this paper, we show how a conversational model, 3.5x smaller than SOTA, can be optimized to outperform the baselines through Auxiliary Learning. Published in the ACL Anthology: "Efficient Task-Oriented Dialogue Systems with Response Selection as an Auxiliary Task."Submitted by radi-cho t3_116kqvm
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