Advancing LLM Reasoning With Preference Trees
Advancing LLM Reasoning with Preference Trees: Researchers introduce "UltraInteract" dataset to train models on tree-structured alignment data, improving reasoning & decision-making capabilities in open-ended tasks.
This is a Plain English Papers summary of a research paper called Advancing LLM Reasoning Generalists with Preference Trees. If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview This paper presents a new approach called "UltraInteract" that uses tree-structured alignment data to improve the reasoning capabilities of large language models (LLMs). The researchers developed a dataset of preference trees, where users express their preferences between different response options for a given context. This alignment data i...