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Published in NeurIPS CogInterp Workshop, 2025
CBMAS is a diagnostic framework designed for the systematic analysis of cognitive behaviors in LLMs, employing continuous activation interventions to assess how the magnitude of manipulation and the depth of network layers influence model biases.
Published in NeurIPS Lock-LLM Workshop, 2025
PLSLSA is a framework for diagnosing and interpreting LLM security-domain behaviors by continuously steering activations and analyzing how intervention strength and layer depth affect model biases.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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