Overcoming Prior Barriers: Supervised Fine-Tuning under Long-Tail Distribution
cs.AI, cs.CL, cs.LG
Submitted: 2026-10-08
Updated: 2026-10-08
Code: https://github.com/tatsu-lab/stanford_alpaca
Terminology
Sources
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
- AlpaGasus: Training A Better Alpaca with Fewer Data
- What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
- Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models
- Mistral 7B
- Qwen2.5 Technical Report
- LoRA: Low-Rank Adaptation of Large Language Models
- Large-Scale Data Selection for Instruction Tuning
- Measuring Massive Multitask Language Understanding
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