arxiv preprint - Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

In this episode, we discuss Branch-Solve-Merge Improves Large Language Model Evaluation and Generation by Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li. The paper introduces the BRANCH-SOLVE-MERGE (BSM) method for improving Large Language Models (LLMs). This method enhances task planning and coherence in LLMs by breaking tasks into sub-tasks, solving them separately, and then combining the solutions. BSM has shown significant improvements in response evaluation and constrained text generation, including better alignment with human judgment, reduced biases, and higher constraint satisfaction.