本文提出了一个 decoding-time re-alignment的方法,简称为 DeRa: 如果λ=0,那么分子分母的表达式变成了 sft,如果λ=1,那么分子分母的表达式变成了π*,相当用一个参数 lambda 来实现二者的指数插值。 而后,通过一些列的化简,可以将 eq5 进一步简化为: 也就是说,指数上的插值,变成了 softmax 之前的线性插值。
Decoding-time Realignment of Language Models Tianlin Liu, Shangmin Guo, Leonardo Bianco, Daniele Calandriello, Quentin Berthet, Felipe Llinares, Jessica Hoffmann, Lucas Dixon, Michal Valko, Mathieu Blondel ICML 2024. [Paper] DeAL: Decoding-time Alignment for Large Language Models James Y. Hua...
Neural decoding models that are able to decode acoustic information in particular have numerous potential applications. One such exciting application is in the field of brain–computer interfacing (BCI)17. BCIs provide a communication channel directly between the brain and a computer device. However, ...
For what concerns the neural bases of acceptance, just a few task-based fMRI studies inquired into its nature. Traditional models of emotion regulation are based on top-down control processes29. However, neuroimaging studies exploring the neural correlates of acceptance show inconsistent findings. Some...
(http://broadinstitute.github.io/picard/). Local realignment of reads around indels and recalibration of base quality scores were performed using IndelRealigner and BaseRecalibrator in the Genome Analysis Toolkit (GATK v2.3.9) (McKenna et al.2010). We used a GATK Unified Genotyper with the ...