fisher information 1kronecker approximation 1large language model compression 1post-training pruning 1svd 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.LG2026
Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models
Viktoriia Chekalina, Daniil Moskovskiy, Tatiana Matveeva +2
The paper introduces Generalized Fisher-Weighted SVD (GFWSVD), a post‑training compression method for large language models that uses a scalable Kronecker‑factored approximation of…
cs.AI2026
NoReGeo: Non-Reasoning Geometry Benchmark
Irina Abdullaeva, Anton Vasiliuk, Elizaveta Goncharova +4
We present NoReGeo, a novel benchmark designed to evaluate the intrinsic geometric understanding of large language models (LLMs) without relying on reasoning or algebraic computati…