44 citations
- Technische Universität DarmstadtDE6 papers
- German Research Centre for Artificial IntelligenceDE5 papers
- Hessian Center for Artificial IntelligenceDE3 papers
- Honda (Germany)DE2 papers
- Institut des Sciences Cognitives Marc JeannerodFR2 papers
- A. Alikhanyan National LaboratoryAM1 paper
- Aix-Marseille UniversitéFR1 paper
- Arab American Pharmacist AssociationUS1 paper
- Bauhaus-Universität WeimarDE1 paper
- Bibliothèque Nationale de FranceFR1 paper
- Bibliothèque Nationale du Royaume du MarocMA1 paper
- CEA Paris-SaclayFR1 paper
4 papers · 1 filter
Factual Self-Awareness in Language Models: Representation, Robustness, and Scaling
Hovhannes Tamoyan, Subhabrata Dutta, Iryna Gurevych
Factual incorrectness in generated content is one of the primary concerns in ubiquitous deployment of large language models (LLMs). Prior findings suggest LLMs can (sometimes) dete…
Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions
Qian Ruan, Ilia Kuznetsov, Iryna Gurevych
Classification is a core NLP task architecture with many potential applications. While large language models (LLMs) have brought substantial advancements in text generation, their…
Re3: A Holistic Framework and Dataset for Modeling Collaborative Document Revision
Qian Ruan, Ilia Kuznetsov, Iryna Gurevych
Collaborative review and revision of textual documents is the core of knowledge work and a promising target for empirical analysis and NLP assistance. Yet, a holistic framework tha…
A Critical Reflection and Forward Perspective on Empathy and Natural Language Processing
Allison Lahnala, Charles Welch, David Jurgens +1
We review the state of research on empathy in natural language processing and identify the following issues: (1) empathy definitions are absent or abstract, which (2) leads to low…