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cs.AI2026
Interpreting Language Model Hidden States at Scale
Jordan Pettyjohn, Mansi Sakarvadia, Nathaniel Hudson +3
Lens methods interpret large language models (LLMs) by mapping intermediate activations to the output vocabulary, revealing how next-token predictions develop through the network.…
cs.AI2026
Beyond Fixed Budgets: Characterizing the Inelasticity and Limitations of Tree-of-Thought Reasoning Strategies
Atkia Mahila, Avinash Maurya, M. Mustafa Rafique +1
Tree of Thought (ToT) search has become a promising direction for improving the reasoning capabilities of large language models, but deploying these methods in practice raises a qu…