Papers09:09Chinese contentDeepAffinity:电商长期方面偏好预测DeepAffinity用小模型预测电商用户长期偏好,比大模型更精准,已落地提升推荐效果。#DeepAffinity#SLMs#电商推荐#偏好预测aarXiv cs.LG@Yotam Eshel et al. (6)SourceRead laterReadWorth followingUsefulFollow DeepAffinity
Papers11:40Chinese content小型语言模型通过嵌入几何理解发票分类研究显示小型语言模型通过嵌入几何分析,在发票分类上超越大模型,仅需少量样本就能达到高准确率。#SBERT#DeBERTa#发票分类#嵌入几何aarXiv cs.LG@Emma Ceccherini et al. (3)SourceRead laterReadWorth followingUsefulFollow SBERT
PapersSelected11:15Chinese content小型语言模型语言化不确定性的可证明极限与认证转交这篇论文测了11个小模型,发现温度缩放有校准不了的边界,用200道题就能算风险上限,20%风险预算下只有3个敢放手用。#ARC-Challenge#TruthfulQA#不确定性校准#风险认证aarXiv cs.LG@Jianru ShenSourceRead laterReadWorth followingUsefulFollow ARC-Challenge