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20222025
most citedRAIN: Your Language Models Can Align Themselves without Finetuning

7 citations · 14 across the 5 of their papers we have counts for

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cs.LG2024★ 6 cited

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Yuhui Li, Fangyun Wei, Chao Zhang +1

Autoregressive decoding makes the inference of Large Language Models (LLMs) time-consuming. In this paper, we reconsider speculative sampling and derive two key observations. First…

cs.LG2022

Direct-Effect Risk Minimization for Domain Generalization

Yuhui Li, Zejia Wu, Chao Zhang +1

We study the problem of out-of-distribution (o.o.d.) generalization where spurious correlations of attributes vary across training and test domains. This is known as the problem of…