Generalized least squares (GLS) analysis shows that, under exchangeability, the optimal symmetric linear combiner of latent embeddings is uniform, supporting majority vote as the natural default in standard SC while leaving room for weighting or pruning under heterogeneous prompt-template branches.
Guang-Sheng Yu, Litianyi Zhang, Qin Wang et al.· 0 citations
CUNO is proposed, a curriculum-based graph unlearning framework that removes the forget set progressively, ordering samples by their estimated unlearning difficulty across multiple stages, and employs a distribution-level negative preference optimization objective at each curriculum stage that steers the model away fro...
Chen-Han Zhang, Ali Braytee, M. Bandara et al.· 0 citations
En-ViMedNER is presented, the first English-Vietnamese parallel biomedical NER corpus annotated with UMLS semantic types, which are language-neutral codes providing a shared cross-lingual label space and ensuring direct comparability with existing UMLS-based resources.
Nhu Vo, P. Nguyen, Nu-Uyen-Phuong Le et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.