Toward LLM Self-Play Under Data Scarcity: Effectiveness, Generalizability, and Trustworthiness
arXiv:2611.08908v1 Announce Type: new Abstract: The rapid development of large language models (LLMs) has been driven largely by scaling model size and human-curated training data, yet this paradigm is increasingly constrained by data scarcity and diminishing returns from human supervision. Self-play offers a…
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