DecisionRank: On-Policy Distillation for Decision-Model Rerankers
READ THE ORIGINAL SOURCEOpen original sourcehuggingface.co · Opens in a new tabDecisionRank is a decision model trained with item-space on-policy distillation (OPD) to transfer ranking knowledge from a generative LLM teacher. The student sorts its document scores into a ranked sequence, and the teacher gives conditional feedback on that ranking to supervise the scores. Combined with offline ranking supervision, the authors report state-of-the-art results on TREC DL, BEIR, and BRIGHT. They claim a 1.7B model surpasses its 27B teacher on TREC DL19-23, and an 8B model runs 24.5x faster than its generative listwise counterpart on TREC DL.
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- Primary sourceHugging Face Daily Papers
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DecisionRank is a decision model trained with item-space on-policy distillation (OPD) to transfer ranking knowledge from a generative LLM teacher. The student sorts its document scores into a ranked sequence, and the teacher gives conditional feedback on that ranking to supervise the scores. Combined with offline ranking supervision, the authors report state-of-the-art results on TREC DL, BEIR, and BRIGHT. They claim a 1.7B model surpasses its 27B teacher on TREC DL19-23, and an 8B model runs 24.5x faster than its generative listwise counterpart on TREC DL.
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Key findings from the stored brief
- Item-space OPD builds the student's rollout by sorting its document scores into a ranked sequence.
- The generative teacher scores that ranking list and supervises the student's document scores directly.
- Reported results claim the 1.7B DecisionRank surpasses its 27B generative teacher on TREC DL19-23.
- At 8B, the paper reports 24.5x faster inference on TREC DL and 16.7x faster on BRIGHT versus the generative listwise counterpart.
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Why this may matter
Decision models avoid autoregressive decoding latency, so transferring LLM ranking knowledge into them could make high-quality reranking cheaper to serve. The approach targets a specific mismatch between teacher output format and student scoring.
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