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Nancy Fulda

4 accepted papers

2022

An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels

ACL 2022long

Pre-trained language models derive substantial linguistic and factual knowledge from the massive corpora on which they are trained, and prompt engineering seeks to align these models to specific tasks. Unfortunately, existing prompt engineering methods require significant amounts of labeled data, ac…

2022

Enhanced Story Comprehension for Large Language Models through Dynamic Document-Based Knowledge Graphs

AAAI 2022technical

Large transformer-based language models have achieved incredible success at various tasks which require narrative comprehension, including story completion, answering questions about stories, and generating stories ex nihilo. However, due to the limitations of finite context windows, these language…

Cited by 46SourcePDFScholar
2017

Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora

CoRL 2017

As robotic systems are deployed into everyday situations, the need for abstract reasoning becomes more pronounced. The ideal robotic assistant should be able to understand verbal commands and work independently to fulfill human-prescribed goals, even if instructions are ambiguous or circumstances ch