A new prompting strategy for multi-turn dialogues improves core information filtering by 32.6% and QA accuracy by 14.1% on HotpotQA while reducing inference time by 73.1% and tokens by 59.4%.
Llama 2: Open foundation and fine-tuned chat models,
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A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue
A new prompting strategy for multi-turn dialogues improves core information filtering by 32.6% and QA accuracy by 14.1% on HotpotQA while reducing inference time by 73.1% and tokens by 59.4%.