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arXiv 2610.22194 · cs.AI · 2026-10-15

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

Bingxiang He, Pengqi Sun, Shihao Peng, Shaoxuan Li, Huiyu Xiao, Hongjian Shi, Zixuan Fu, Ziqing Qiao and 13 more

Tsinghua NLP Group

In latest · #240 Added on 2026-10-21

One-line takeaway

Tsinghua's AutoSFT gives an agent a full data action space—mix, prune, repair, synthesise—to automate SFT data research.

清华 AutoSFT 给智能体一整套数据操作(配比、剪枝、修复、合成),自动做监督微调的数据研究。

41HF upvotes
14GitHub stars
0Citations (Semantic Scholar)
50.6Buzz score

Read on arXiv PDF Hugging Face discussion Code

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

Data updated: Latest AI papers(UTC+8)