Ruoxiang Xu

Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding

Numerous studies have demonstrated that the Transformer architecture possesses the capability for in-context learning (ICL). In scenarios involving function approximation, context can serve as a control parameter for the model, endowing it with the universal approximation property (UAP). In practice…