A single-pass instruction rewriter trained on MCTS-synthesized preference data improves LLM alignment win rates over the BPO baseline.
Advances in Neural Information Processing Systems, 36: 62630–62656
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CaPulse: Detecting Anomalies by Tuning in to the Causal Rhythms of Time Series
A single-pass instruction rewriter trained on MCTS-synthesized preference data improves LLM alignment win rates over the BPO baseline.