On-policy self-training improves models without curated answers
From coarse topic descriptions alone, a model writes its own questions and reasoning traces and gains on language and visual tasks.
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From coarse topic descriptions alone, a model writes its own questions and reasoning traces and gains on language and visual tasks.
On a 200-prompt benchmark, agents handled precise visual constraints better than photorealism, and reconstructed code sometimes beat the original image on VQA.
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