SELF-REFINE — A New Milestone in the AI Era?
Note: ChatGPT is used in this post as an assistant.
When I found this work, I got super excited! A bunch of questions came to my mind, and I knew I had to write a blog post on it. It might be a game-changer like the Transformer paper was. This could take AI to new levels. So, let’s jump in and see what this paper’s all about.
Introduction
Large language models (LLMs) can produce coherent outputs, but they often struggle with more complex tasks that involve multiple objectives or less-defined goals. Current advanced techniques for refining LLM-generated text rely on external supervision and reward models, which require significant amounts of training data or costly human annotations. This highlights the need for a more flexible and effective method that can handle a range of tasks without extensive supervision.
To address these limitations, a new method called SELF-REFINE has been proposed. It better mimics the human creative generation process without the need for an expensive human feedback loop. SELF-REFINE consists of an iterative loop between two components, FEEDBACK and REFINE, that work together to produce high-quality outputs. The process starts with an initial draft output generated by a model, which is then passed back to the same model for feedback and refinement. This…
