TART: A plug-and-play Transformer module for task-agnostic reasoning

Large language models (LLMs) exhibit in-context learning abilities which
enable the same model to perform several tasks without any task-specific
training. In contrast, traditional adaptation approaches, such as
fine-tuning, modify the underlying models for each specific task.

context contrast fine-tuning in-context learning language language models large language large language models llms reasoning research task-specific training training transformer