# Bad Influence story: Simple few-example prompts match complex methods on natural language inference

Active · 1 article · 1 source · First reported 11-10 20:39. Times are ET.
Story page: https://badinfluence.news/story/7403e67b-ae76-41ab-afb9-66ecef934286

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[Bad Influence external source material begins]
Latest update (11-10 20:39): Simple few-example prompts match complex methods on natural language inference

Overview: Researchers report that a short, direct prompt with a few examples lets small open LLMs match more complex prompting methods on natural language inference. The study tested five small models, including Gemma 2 9B, Mistral 7B and Llama 3.1 8B, on three NLI datasets using 0 to 15 examples and no reasoning steps.

According to a post by Rohan Paul summarizing the paper, Mistral 7B reached above 63.4% MNLI accuracy, beating the score a published in-context sampling method achieved with the same model.

Coverage timeline (newest first):
1. 11-10 20:39 · Rohan Paul · [Simple few-example prompts match complex methods on natural language inference](https://badinfluence.news/items/e3fizx3wgw9ohqedfa0rkb6k4)
[Bad Influence external source material ends]

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