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SciWalker, a framework for synthesizing scientific coding problems through operator-chain sampling and execution feedback, enables scalable task generation while promoting scientific grounding, computational diversity, and executability.
This work introduces a student reference KL loss and mask the advantages of special termination tokens to mitigate the problem of excessive generation length and frequent truncation, and improves on science benchmarks such as HLE and HiPhO, suggesting that OPD transfers reasoning capabilities that generalize beyond the...
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