3 papers
cs.IR2026
Numerical Embeddings for CTR Prediction: A Taxonomy, Unified Benchmark, and Open-Source FuxiCTR Extension
Heng Yao, Hanwei Zhu, Tianying Liu +2
Numerical embeddings map scalar features into vectors before a click-through rate (CTR) backbone combines the fields. To our knowledge, NumEmbBench is the first open benchmark dedi…
cs.IR2026
ScalarLens: Numerical Embeddings with Stable Coordinates and Contextual Responses for CTR Prediction
Heng Yao, Tianying Liu, Yulou Shu +6
Numerical embeddings for click-through rate (CTR) prediction are built on a convenient but restrictive premise: a scalar has one representation. This premise conflates where a valu…
cs.LG2026
PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert
Heng Yao, Siyun Hou, Tianying Liu +8
Click-through rate (CTR) models vary in feature-interaction design, yet their top networks usually remain a single multilayer perceptron shared by all examples. Heterogeneous user,…