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Jan, 2025
基于解码的回归
Decoding-based Regression
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Xingyou Song, Dara Bahri
TL;DR
本研究解决了语言模型在回归任务中的应用问题,特别是数值预测通过解码字符串表示的情况。通过理论基础验证了因果自回归序列模型的效用,并发现解码基回归在表格回归任务中表现优异,同时具有捕捉任意分布的灵活性,尤其在密度估计任务中表现突出。
Abstract
Language Models
have recently been shown capable of performing
Regression
tasks wherein numeric predictions are represented as decoded strings. In this work, we provide theoretical grounds for this capability and
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