Scoring functions are sub-optimal for all utility-fairness trade-offs in ranking under a generic fairness formulation, but semi-greedy post-processing can approach the performance of exhaustive post-processing.
2212–2220
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Introduces FARO, a scalable quadratic optimization approach for fairness-aware top-k retrieval in RAG that mitigates generation bias via controlled reranking and position-aware propagation modeling.
Contract Scoring applies adaptive nearest neighbors on ensemble trees to grade enterprise contracts by historical peers, yielding letter grades and reported revenue gains at Databricks.
citing papers explorer
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Scoring Is Not Enough: Addressing Gaps in Utility-fairness Trade-offs for Ranking
Scoring functions are sub-optimal for all utility-fairness trade-offs in ranking under a generic fairness formulation, but semi-greedy post-processing can approach the performance of exhaustive post-processing.
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Fairness-Aware Retrieval Optimization for Retrieval-Augmented Generation
Introduces FARO, a scalable quadratic optimization approach for fairness-aware top-k retrieval in RAG that mitigates generation bias via controlled reranking and position-aware propagation modeling.
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Algorithmic Contract Design at Scale: Adaptive Peer Comparison for Enterprise Pricing
Contract Scoring applies adaptive nearest neighbors on ensemble trees to grade enterprise contracts by historical peers, yielding letter grades and reported revenue gains at Databricks.