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Massimo Piccardi

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#artificial intelligence Preprint Sep 2026

Diversity Combining for Multi-Path LLM Reasoning

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
#artificial intelligence Preprint Sep 2026

CUNO: Curriculum and Preference Optimization for Stable Graph Unlearning under Mass Deletion

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
#natural language process... Preprint Aug 2026

En-ViMedNER: An English-Vietnamese Parallel Biomedical Corpus with UMLS Semantic Type Annotations

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

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