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cs.LG2026
Diffuse AI Control on Fuzzy Tasks
Mikhail Terekhov, Caglar Gulcehre, Vivek Hebbar +1
AI models deployed in critical domains, such as AI safety research, may subtly sabotage our efforts due to misalignment. Diffuse AI Control is a subfield of AI safety concerned wit…
cs.LG2026
Faithfulness as Information Flow: Evaluating and Training Faithful Chain-of-Thought Reasoning
Jinghan Jia, Joe Benton, Eric Easley
Chain-of-thought (CoT) reasoning is useful for monitoring language models only when the reasoning trace faithfully reflects the computation that produces the final answer. However,…
cs.LG2026
Removing Sandbagging in LLMs by Training with Weak Supervision
Emil Ryd, Henning Bartsch, Julian Stastny +2
As AI systems begin to automate complex tasks, supervision increasingly relies on weaker models or limited human oversight that cannot fully verify output quality. A model more cap…