COLM standout paper: task-reward RL is more than distribution sharpening
May_F1_ · x · 2026-10-12
@Zhen4good calls this one of the best papers at COLM this year. Key finding: task-reward RL is not merely distribution sharpening, meaning you likely can't replicate its gains with rejection-sampling SFT. The takeaway: better optimization objectives, not sampling tricks, may be what's needed to train great models.
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