565 citations · 984 across the 75 of their papers we have counts for
17 papers · 1 filter
Real or Fake Text?: Investigating Human Ability to Detect Boundaries Between Human-Written and Machine-Generated Text
Liam Dugan, Daphne Ippolito, Arun Kirubarajan +2
As text generated by large language models proliferates, it becomes vital to understand how humans engage with such text, and whether or not they are able to detect when the text t…
CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding
Yijiang River Dong, Lara J. Martin, Chris Callison-Burch
Story generation and understanding -- as with all NLG/NLU tasks -- has seen a surge in neurosymbolic work. Researchers have recognized that, while large language models (LLMs) have…
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
Pei Zhou, Andrew Zhu, Jennifer Hu +5
We propose a novel task, G4C, to study teacher-student natural language interactions in a goal-driven and grounded environment. Dungeons and Dragons (D&D), a role-playing game, pro…
Low-Resource Authorship Style Transfer: Can Non-Famous Authors Be Imitated?
Ajay Patel, Nicholas Andrews, Chris Callison-Burch
Authorship style transfer involves altering text to match the style of a target author whilst preserving the original meaning. Existing unsupervised approaches like STRAP have larg…
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
Yue Yang, Artemis Panagopoulou, Shenghao Zhou +3
Concept Bottleneck Models (CBM) are inherently interpretable models that factor model decisions into human-readable concepts. They allow people to easily understand why a model is…
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction
Yue Yang, Artemis Panagopoulou, Marianna Apidianaki +2
Neural language models encode rich knowledge about entities and their relationships which can be extracted from their representations using probing. Common properties of nouns (e.g…