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Language models are increasingly doing their real work in the "invisible" latent space, not the tokens we see.
GRPO's struggle with exploration and difficulty adaptation in LLM reasoning stems from a previously unnoticed symmetry in its advantage estimation, which can be overcome by asymmetrically weighting correct vs. incorrect trajectories.
