TALAS is a knowledge distillation method that selectively aligns upper student layers to teacher sentence embeddings, propagates knowledge top-down via relational constraints in lower layers, and uses ASAM to seek flatter minima.
Findings of the Association for Computational Linguistics: EMNLP 2023 , year =
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
TALAS: Teacher-Anchored Layer Alignment with Adaptive Sharpness-Aware Minimization for Embedding Distillation
TALAS is a knowledge distillation method that selectively aligns upper student layers to teacher sentence embeddings, propagates knowledge top-down via relational constraints in lower layers, and uses ASAM to seek flatter minima.