Papers by Rebecca Kehlbeck

1 papers
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges (2025.acl-demo)

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Challenge: generative language models have become popular, but comprehending their outputs remains challenging for NLP practitioners and linguistic experts.
Approach: They propose to use a beam search tree to examine model outputs to provide information on runner-up candidates and their corresponding probabilities to address these challenges.
Outcome: The proposed method validates existing results and offers additional insights.

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