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cs.LG2025
Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding
Qian Ma, Ruoxiang Xu, Yongqiang Cai
Numerous studies have demonstrated that the Transformer architecture possesses the capability for in-context learning (ICL). In scenarios involving function approximation, context…
hep-th2025★ 1 cited
Anatomy of the simplest renormalon
Marcos Marino
Perhaps the simplest IR renormalon occurs in the ground state energy of a superrenormalizable model, the scalar theory in two dimensions with a quartic potential and negativ…
cs.CR2025
Enhancing Adversarial Example Detection Through Model Explanation
Qian Ma, Ziping Ye
Adversarial examples are a major problem for machine learning models, leading to a continuous search for effective defenses. One promising direction is to leverage model explanatio…