arXiv (OAI Expanded)
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ABLE: Representing and Mapping LLMs via Attribution-Based Large-model Embedding
The explosive growth of large language models (LLMs) has created a heterogeneous and poorly documented ecosystem, making systematic model comparison increasingly important for provenance auditing, security analysis, and model selection. Existing representation methods struggle to address this settin
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