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Notes on reasoning models
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GUARD: Natural Forgetting in Large Reasoning Models via Guided Answer-Reasoning Distillation
GUARD frames unlearning in large reasoning models as learning a coherent non-disclosing reasoning trajectory followed by a stable refusal-style answer. It uses Guided Answer-Reasoning Distillation and introduces…
ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models
The paper introduces ReasoningLens, an open-source framework designed to address the transparency issue in Large Reasoning Models by creating hierarchical visualizations and diagnostic auditing tools for complex…
ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models
The paper introduces ReasoningLens, an open-source framework designed to help with the visualization and diagnostic auditing of complex reasoning chains in large reasoning models. The tool aims to address the issue of…
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