Data Efficient Sample Selection for In-Context Learning

arXiv:2609.06670 · cs.LG, cs.CL · Submitted 2026-09-06 · Read on arXiv

cs.LG, cs.CL

Submitted: 2026-09-06

Updated: 2026-09-13

Comments: Accepted to EMNLP 2026 Main track, 22 pages with sample-complexity proof in Appendix;

Code: https://github.com/VenkteshV/DearICL

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• In-Context Learning — 2× in this paper · explained in 4 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• In-Context Learning (ICL) — 1× in this paper · explained in 5 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes

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