People
Isabelle Augenstein
Contact
Collaboratories
Website
Isabelle's P1 Publications
Measuring and Benchmarking Large Language Models’ Capabilities to Generate Persuasive Language
Amalie B. Pauli, Isabelle Augenstein, Ira Assent
Investigating Human Values in Online Communities
Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein
Can Community Notes Replace Professional Fact-Checkers?
Nadav Borenstein, Greta Warren, Desmond Elliott, Isabelle Augenstein
Show Me the Work: Fact-Checkers’ Requirements for Explainable Automated Fact-Checking
Greta Warren, Irina Shklovski, Isabelle Augenstein
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework
Jingyi Sun, Pepa Atanasova, Isabelle Augenstein
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell
Social Bias Probing: Fairness Benchmarking for Language Models
Marta M. Manerba, Karolina Stańczak, Riccardo Guidotti, Isabelle Augenstein
Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods
Haeun Yu, Pepa Atanasova, Isabelle Augenstein
LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models
Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge Belongie, Isabelle Augenstein
Investigating the Impact of Model Instability on Explanations and Uncertainty
Sara V. Marjanović, Isabelle Augenstein, Christina Lioma
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
Yuxia Wang, Revanth G. Reddy, Zain M. Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama M. Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
Sara V. Marjanović, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein
Can Transformers Learn n-gram Language Models?
Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell
PHD: Pixel-Based Language Modeling of Historical Documents
Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein
People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection
Indira Sen, Dennis Assenmacher, Mattia Samory, Isabelle Augenstein, Wil van der Aalst, Claudia Wagner
Multilingual Event Extraction from Historical Newspaper Adverts
Nadav Borenstein, Natália da S. Perez, Isabelle Augenstein
Measuring Intersectional Biases in Historical Documents
Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha K. Käfer,, Natália da S. Perez, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob G. Simonsen, Isabelle Augenstein
Explaining Interactions Between Text Spans
Sagnik R. Choudhury, Pepa Atanasova, Isabelle Augenstein
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing
Lucie-Aimée Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein
Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection
Erik Arakelyan, Arnav Arora, Isabelle Augenstein
Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions
Lucie-Aimée Kaffee, Arnav Arora, Isabelle Augenstein