AIBullisharXiv – CS AI · 10h ago7/10
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Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs
Researchers propose TPAW, a self-play algorithm that improves LLM alignment without human-labeled data by having models collaborate and compete against historical checkpoints while using adaptive weighting mechanisms. The approach addresses instability and diminishing optimization gains in existing self-training methods, demonstrating consistent improvements across multiple benchmarks.