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#artificial intelligence Preprint Oct 2026

AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning

Language model agents increasingly automate post-training, but when given the full training stack they converge on supervised fine-tuning and spend most effort revising training data. Existing systems give the agent one kind of control, selecting rows from a fixed pool or calling a generator, whereas a human data engin...

Bing-Xiang He, Peng Sun, Shi-Hao Peng et al. · 0 citations
#small language model Open access Oct 2026

Quantifying pollen and spore morphology using a language model.

In a typical systematic paper, specimen morphology is described with natural language, and taxonomic specialists use glossaries of technical terminology to establish and communicate taxon concepts, using morphology to delimit species. Textual descriptions of specimen morphology are therefore foundational to biological...

Luke Mander, Peng Sun, S. Punyasena et al. · 0 citations

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