BBCritic reframes GUI critique as continuous semantic alignment via contrastive learning in an affordance space, outperforming larger binary SOTA models on a new four-level hierarchical benchmark without extra annotations.
Proceedings of the 24th International Conference on Machine Learning , pages=
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A Transformer-based learning-to-rank model for selected configuration interaction achieves chemical accuracy with substantially fewer determinants than prior classification or regression baselines across tested molecules.
LambdaRankIC derives closed-form lambda gradients for pairwise rank swaps to directly optimize Rank IC within the LambdaRank framework, outperforming regression and NDCG losses on simulated and real financial data.
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Beyond Binary: Reframing GUI Critique as Continuous Semantic Alignment
BBCritic reframes GUI critique as continuous semantic alignment via contrastive learning in an affordance space, outperforming larger binary SOTA models on a new four-level hierarchical benchmark without extra annotations.
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Learning to Rank for Selected Configuration Interaction
A Transformer-based learning-to-rank model for selected configuration interaction achieves chemical accuracy with substantially fewer determinants than prior classification or regression baselines across tested molecules.
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LambdaRankIC: Directly Optimizing Rank IC for Financial Prediction
LambdaRankIC derives closed-form lambda gradients for pairwise rank swaps to directly optimize Rank IC within the LambdaRank framework, outperforming regression and NDCG losses on simulated and real financial data.