LLM Digest

Story

arxiv_cs_lg · Jun 4, 2026 · paper

Source brief

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis

arxiv.orgJun 4, 2026
original source linked

In brief

Topological Data Analysis (TDA) offers a principled, intrinsic lens for comparing neural representations. However, existing paired topological divergences (e.g., RTD) are limited by heuristic asymmetry and, more criti...

Read the original at arxiv.org →Open in live feed

Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis

Earlier in this thread 4 items

Arm Open-Sources Metis, an AI Security Framework Outperforming Traditional SAST Tools

Statistical Embeddings for Similarity, Retrieval, and Interpretable Alignment of Numeric Tabular Datasets

ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM

SynAE: A Framework for Measuring the Quality of Synthetic Data for Tool-Calling Agent Evaluations