Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning

Neural Information Processing Systems 

Transformer-based large language models (LLMs) have displayed remarkable creative prowess and emergence capabilities. Existing empirical studies have revealed a strong connection between these LLMs' impressive emergence abilities and their

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