Preprint2026
From self-evolving synthetic data to verifiable-reward rl: Post-training multi-turn interactive tool-using agents
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This paper investigates reinforcement learning for interactive tool-using agents, highlighting user model fine-tuning as a critical component for training such agents.
0Jan 1, 2026Fine Tuning
arXiv