Papers with multi-round human-model interaction

1 papers
G-SPEED: General SParse Efficient Editing MoDel (2023.findings-emnlp)

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Challenge: Large Language Models (LLMs) have demonstrated incredible capabilities in understanding, generating, and manipulating languages.
Approach: They propose a general SParse Efficient Editing MoDel which can fulfill diverse editing requirements through a single model while maintaining low computational costs.
Outcome: The proposed model can fulfill diverse editing requirements through a single model while maintaining low computational costs.

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