EviRank extracts three evidences from a single LLM forward pass, aggregates them with reliable opinion pooling and position-aware calibration, then uses the result to optimize rankings, claiming SOTA on recommendation and uncertainty quantification across three datasets.
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EviRank: Evidence-Based Confidence Estimation for LLM-Based Ranking
EviRank extracts three evidences from a single LLM forward pass, aggregates them with reliable opinion pooling and position-aware calibration, then uses the result to optimize rankings, claiming SOTA on recommendation and uncertainty quantification across three datasets.