Papers by Evan Lucas

2 papers
A Reference-free Segmentation Quality Index (SegReFree) (2023.findings-emnlp)

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Challenge: Topic segmentation is the process of finding boundaries in sentences that separate groups of adjacent sentences at shifts in semantic meaning.
Approach: They propose a reference-free segmentation quality index to assess segmentation . metric uses a modified cluster validity metric with semantic embeddings of the sentences .
Outcome: The proposed metric uses a modified cluster validity metric with semantic embeddings of the sentences to determine the quality of the segmentation.
Discovering Language Model Behaviors with Model-Written Evaluations (2023.findings-acl)

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Challenge: Prior work creates evaluations with crowdwork or existing data sources, which are not always available.
Approach: They generate evaluations automatically with language models (LMs) using crowdwork or existing data sources to find out how they behave .
Outcome: The results show that large LMs repeat back a dialog user’s preferred answer and express greater desire to pursue concerning goals like resource acquisition and goal preservation.

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