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Oct 14, 2026 · Artificial Intelligence

Jev-LDE: One Local Edit Boosts 1-Shot ICL Accuracy by 7 Points

Tsinghua researchers propose Jev-LDE, a 1.7B model that performs a single local edit (Keep, Delete, Replace) on retrieved demonstrations for in-context learning, improving average 1-shot classification accuracy from 81.2% to 88.1% across multiple datasets and target LLMs with only 11% inference overhead.