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cs.AI2026
Fluid Reasoning Representations
Dmitrii Kharlapenko, Alessandro Stolfo, Terry Jingchen Zhang +4
Frontier large language models increasingly solve complex tasks involving abstract concepts through extended test-time thinking. Yet we lack a mechanistic account of how extended t…
cs.AI2026
On the Emergence of Induction Heads for In-Context Learning
Tiberiu Musat, Tiago Pimentel, Lorenzo Noci +3
Transformers have become the dominant architecture for natural language processing. Part of their success is owed to a remarkable capability known as in-context learning (ICL): the…