Papers by Ashna Khetan

1 papers
Grounding Gaps in Language Model Generations (2024.naacl-long)

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Challenge: Effective conversation requires common ground, but it does not emerge spontaneously.
Approach: They propose a set of grounding acts and metrics that quantify attempted grounding . they find that large language models generate language with less conversational grounding than humans .
Outcome: The proposed models generate language with less conversational grounding than humans . compared to humans, they generate language that appears to presume common ground .

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