What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective

arXiv:2604.25132 · cs.CL · Submitted 2026-04-28 · Read on arXiv

cs.CL

Submitted: 2026-04-28

Updated: 2026-10-15

Terminology

• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• In-Context Learning — 1× in this paper · explained in 7 episodes
• Redundancy — 1× in this paper · explained in 2 episodes

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering