AINeutralarXiv – CS AI · 14h ago6/10
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Make LLM Learn to Synthesize from Streaming Experiences through Feedback
Researchers introduce StreamSynth, a new framework enabling large language models to learn and improve synthetic data generation across sequential tasks by accumulating experience and transferring knowledge between related synthesis problems. The SynLearner framework demonstrates that LLMs can leverage historical task insights to enhance future data generation quality, establishing synthetic data creation as an experience-driven process rather than isolated operations.