Coarse-to-Fine Label Distribution Learning for High-Cardinality Survey Simulation
Modeling fine-grained survey distributions for high-cardinality large language model prediction is challenging under mixed-cardinality supervision. Because low-cardinality surveys dominate training, standard label distribution learning (LDL) develops positional bias toward early response regions and fails to generalize...
Jianhao Li, Haijiang Liu, Zixiang Meng et al.
· International Journal of Web... · 0 citations