ABLE constructs model embeddings from gradient-based input attributions, enabling training-free LLM comparison across 239 models with theoretical stability guarantees.
William B Johnson, Joram Lindenstrauss, and 1 others
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ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding
ABLE constructs model embeddings from gradient-based input attributions, enabling training-free LLM comparison across 239 models with theoretical stability guarantees.