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Nalini Venkatasubramanian

1 accepted papers

2025

OptiSeq: Ordering Examples On-The-Fly for In-Context Learning

EMNLP 2025

Developers using LLMs and LLM-based agents in their applications have provided plenty of anecdotal evidencethat in-context-learning (ICL) is fragile. In this paper, we show that in addition to the quantity and quality of examples, the order in which the in-context examples are listed in the prompt a

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