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J-Zero: Unified Challenger--Solver--Judge Co-Evolution from Zero Data

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By Myeongho Jeon, Eunho Yang, Gyouk Chu
| huggingface.co
Abstract J-Zero enables self-improving language models across verifiable and unverifiable domains through adversarial co-evolution of a task generator, solver, and judge using predefined preference pairs. Self-evolving language models have recently emerged as a promising path toward superintelligence, with the advantage of reducing the cost of human supervision.
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