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cs.CL2026
Cluster Validation Indices as Self-Supervised Objectives for Text Representation Learning
Kishor Kumar Bhaumik, Nicolas Roque dos Santos, Neil Shah +2
Self-supervised fine-tuning refines the embedding space of a pretrained language encoder without labels. However, the commonly used approaches are computationally expensive. Specif…
cs.CL2026
AnTenA: Actionable and Explainable Tensor Analysis System with Large Language Models
Dawon Ahn, Auder Der, Evangelos E. Papalexakis
Accurately explaining hidden patterns in multi-aspect data has typically been done by leveraging labels and/or accompanying auxiliary metadata. However, labels and auxiliary data m…