Judging in Latent Space: Efficient Generative Reward Modeling via Semantics-Preserving Compression
Reward modeling often requires jointly representing and reasoning over multiple evaluation criteria, yet verbalizing this process token by token can incur substantial inference cost. Recent work on latent reasoning suggests that continuous states may support this computation more compactly. We introduce LatentGRM, a la...
Ming-Qing Yuan, Xiao-Bo Liang, Jun-Wei Yang et al.
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