Papers with Position engineering

1 papers
Position Engineering: Boosting Large Language Models through Positional Information Manipulation (2024.emnlp-main)

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Challenge: Recent advances in Large Language Models (LLMs) have demonstrated significant strides towards achieving artificial general intelligence.
Approach: They propose a technique termed position engineering which alters the positional information in the prompt without modifying the text itself.
Outcome: The proposed technique significantly improves on the baseline in retrieval-augmented generation and in-context learning scenarios.

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