#large language model fine-tuning

topiclarge language model fine-tuning

2 papers · 1 filter

cs.LG2026

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training

Jinliang Gao, Ning Yang, Hai Wang +2

The paper introduces SDO, a plug‑and‑play framework that dynamically organizes training data for large language model post‑training by using exposure‑driven feedback and K‑nearest‑…

cs.CV2026

Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis

Anujaya Vijayakumar, Radu Timofte, Dmitry Ignatov

The paper proposes a MinHash‑based curriculum that gradually presents neural‑architecture code of increasing diversity to a large language model, fine‑tuning it with LoRA adapters…