Study Examines LLM Self-Play as Training Path When Data Is Scarce
A new arXiv paper explores whether large language models can improve through self-play when human-curated training data runs out, assessing its effectiveness, generalizability, and trustworthiness.
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- 2026-11-09 05:00 · arXiv cs.AI
Toward LLM Self-Play Under Data Scarcity: Effectiveness, Generalizability, and Trustworthiness