FAER: Auditable Utility-Aligned Trajectory Replay for Language Model Post-Training
arXiv:2610.00385v1 Announce Type: cross Abstract: Replay selectors often rank cached trajectories by format feedback, confidence, freshness, or response length, although cache-level correctness and downstream learner utility are distinct objectives. We formalize this selection-to-learning gap and i…
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- 2026-10-02 04:00 · arXiv stat.ML
FAER: Auditable Utility-Aligned Trajectory Replay for Language Model Post-Training