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Faulty-code-driven test synthesis boosts code generation performance by 3% in LLMs, tackling reward hacking and validation issues head-on.
Scaling zero RL to a trillion parameters reveals that models can spontaneously develop advanced cognitive behaviors, making traditional heuristics obsolete.
