What's this about?
EAPO gives more credit to uncertain choices that unexpectedly succeed and stronger blame to confident choices that repeatedly fail.
What exactly is token-level credit assignment?
An answer receives one final reward, but training must decide which earlier word choices helped or hurt. Credit assignment spreads that outcome back across the sequence.
Why does this matter?
20 HF upvotes. The method uses signals already present in reinforcement-learning rollouts, avoiding an extra judge model, but its gains remain author-reported.