Behrooz Omidvar Tehrani

Enhancing Language Model Agents using Diversity of Thoughts

A popular approach to building agents using Language Models (LMs) involves iteratively prompting the LM, reflecting on its outputs, and updating the input prompts until the desired task is achieved. However, our analysis reveals two key shortcomings in the existing methods: $(i)$ limited exploration…