2 citations · 2 across the 4 of their papers we have counts for
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cs.AI2026
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning
Bingxiang He, Pengqi Sun, Shihao Peng +18
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 da…
cs.AI2023★ 2 cited
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer
Yongheng Deng, Ziqing Qiao, Ju Ren +2
While large language models (LLMs) are empowered with broad knowledge, their task-specific performance is often suboptimal. It necessitates fine-tuning LLMs with task-specific data…