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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Feb 202519922001200920172026
1 result for “GPT4ItemSeg”
Utilizing Pre-trained and Large Language Models for 10-K Items Segmentationq-fin.GN

Two methods improve 10-K item segmentation using large language models.

problem Challenges in extracting specific items from 10-K reports due to variations in document formats and item presentation.
method Two advanced item segmentation methods: GPT4ItemSeg and BERT4ItemSeg.
result BERT4ItemSeg achieves a macro-F1 of 0.9825, surpassing other methods.
10-K reportsitem segmentationlarge language modelsBERTGPT4ItemSeg
2025-02-13abs ↗pdf ↗