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Astro-Han/decision-head-rlcd — GitHub trending stats & insights | Trendshift
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Astro-Han/decision-head-rlcd
Where does a decision model's generalisation come from? RLCD on Qwen3.5-4B, held-out sets grouped by training-data coverage, JevBench and three external suites.
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Python
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这里的核心难点在于数据,Jev 团队在数据的多样性下了足够大的功夫,这不是光靠堆题量和扩大 RLCD 规模能解决的。 尤其是在长材料、多规则牵制这种训练里没有的题型,Jev 的表现非常好。
@AstroHanRay · x.com
Remaining gap to Jev (0.78 vs 0.87, 231 public items) is all hard tier, and the biggest single loss in every seed is long_policy: long material with many interacting rules. Nothing like it is in my…
@AstroHanRay · x.com
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