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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…
cs.CL2025
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models
Yiran Luo, Het Patel, Yu Fu +4
Recent research has shown that pruning large-scale language models for inference is an effective approach to improving model efficiency, significantly reducing model weights with m…