Sparse Rewards Can Self-Train Dialogue Agents

Barrett Martin Lattimer, Varun Gangal, Ryan McDonald +1

Recent advancements in state-of-the-art (SOTA) Large Language Model (LLM) agents, especially in multi-turn dialogue tasks, have been primarily driven by supervised fine-tuning and…