Author

Jinguang Gu

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#large language models Open access Oct 2026

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

#large language models Open access Sep 2026

Hi-SCCG: Hierarchical Structure-aware Chunking and Context Generation for document-level information extraction

Large Language Model (LLM)-based generative Information Extraction (IE) over long documents is constrained by finite context windows, and the necessary text-chunking step disrupts semantic continuity, causing subject drift, unresolved coreference, and loss of the global constraints required for fine-grained knowledge g...

Pingfang Tian, Peishan Xie, Qiyuan Li et al. · Scientific Reports · 0 citations