9 citations · 15 across the 11 of their papers we have counts for
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math.HO2026
Math for AI safety: an invitation for mathematicians
Lionel Levine
Artificial intelligence threatens to outrun human understanding and control. New mathematics is needed to design AI that is legible, steerable, and cooperative with humanity. I org…
cs.LG2026
Mixing Times of Glauber Dynamics on Masked Language Models
Suvadip Sana, Sami Wolf, Neer Mehta +4
Masked language models (MLMs) define local conditional distributions over tokens but do not, in general, correspond to any consistent joint distribution over sequences. This raises…
cs.CL2026
On Safety Risks in Experience-Driven Self-Evolving Agents
Weixiang Zhao, Yichen Zhang, Yingshuo Wang +8
Experience-driven self-evolution has emerged as a promising paradigm for improving the autonomy of large language model agents, yet its reliance on self-curated experience introduc…