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Beijing University of Posts and Telecommunications
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Major LLM failures can be traced back to specific disruptions in cognitive organization, providing a roadmap for targeted interventions and deeper understanding of model behavior.
MLLMs encode conflicting knowledge signals as linearly separable features in mid-to-late layers, revealing a distinct processing stage for conflict resolution.
LLM factual errors aren't just about missing knowledge; sometimes the model *knows* the truth but deliberately says otherwise.