From the Zoo to the BULLPEN: Sample-Efficient LLM Profiling via Multi-Channel Model Embeddings
BULLPEN (Behavioral Understanding of Large Language models via Profile ENcodings), a framework that extends EmbedLLM in three ways and is the first framework to read a model's own answer text jointly with its correctness and the question text, is introduced.
Russell Ro, Qi-Ming Cui, Reza Abbasi-Asl
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