Semantic Shift
Length is a Curse and a Blessing for Document-level Semantics
Contrastive learning Semantic shift Language models IsotropyAt EMNLP 2023, Chenghao Xiao, Yizhi Li, G Hudson, Chenghua Lin, and Noura Al Moubayed question the length generalizability of contrastive learning-based models and introduce LA(SER)3 document representation learning framework.
