How can language help LLMs learn numbers faster?
Exploring Natural Language-Based Strategies for Efficient Number Learning in Children through Reinforcement Learning
October 14, 2024
https://arxiv.org/pdf/2410.08334This research investigates how children learn numbers using a reinforcement learning (RL) model, focusing on the impact of language instructions on this process.
The key takeaway for LLM-based multi-agent systems is the importance of clear, action-oriented language instructions for efficient learning. The study found that agents learn significantly better when given explicit, policy-based instructions compared to state-based descriptions or visual input alone. This highlights the potential for well-crafted language to enhance learning and performance in LLM-based multi-agent systems.