2026
A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn’t)
ICML 2026poster
Instruction fine-tuning of large language models (LLMs) often involves selecting a subset of instruction training data from a large candidate pool, using a small query set from the target task. Despite growing interest, the literature on targeted instruction selection remains fragmented and opaque: …