Isabelle Augenstein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
95
Venues
15
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
95 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Claim Verification in the Age of Large Language Models: A Survey. | Alphaeus Dmonte, Roland Oruche, Marcos Zampieri, Prasad Calyam, Isabelle Augenstein |
| 2026 | ACL | CUB: Benchmarking Context Utilisation Techniques for Language Models. | Lovisa Hagstrm, Youna Kim, Haeun Yu, Sang-goo Lee, Richard Johansson, Hyunsoo Cho, Isabelle Augenstein |
| 2026 | ACL | Stress Testing Factual Consistency Metrics for Long-Document Summarization. | Zain Muhammad Mujahid, Dustin Wright, Isabelle Augenstein |
| 2026 | ACL | Analysing Differences in Persuasive Language in LLM-Generated Text: Uncovering Stereotypical Gender Patterns. | Amalie Brogaard Pauli, Maria Barrett, Max Mller-Eberstein, Isabelle Augenstein, Ira Assent |
| 2026 | ACL | Explaining Sources of Uncertainty in Automated Fact-Checking. | Jingyi Sun, Greta Warren, Irina Shklovski, Isabelle Augenstein |
| 2026 | ACL | Reliable Evaluation Protocol for Low-Precision Retrieval. | Kisu Yang, Yoonna Jang, Hwanseok Jang, Kenneth Choi, Isabelle Augenstein, Heuiseok Lim |
| 2025 | ACL | Can Community Notes Replace Professional Fact-Checkers? | Nadav Borenstein, Greta Warren, Desmond Elliott, Isabelle Augenstein |
| 2025 | ACL | A Reality Check on Context Utilisation for Retrieval-Augmented Generation. | Lovisa Hagstrm, Sara Vera Marjanovic, Haeun Yu, Arnav Arora, Christina Lioma, Maria Maistro, Pepa Atanasova, Isabelle Augenstein |
| 2025 | CHI | Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking. | Greta Warren, Irina Shklovski, Isabelle Augenstein |
| 2025 | COLING | SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages. | Gayane Ghazaryan, Erik Arakelyan, Isabelle Augenstein, Pasquale Minervini |
| 2025 | EMNLP | FLARE: Faithful Logic-Aided Reasoning and Exploration. | Erik Arakelyan, Pasquale Minervini, Patrick S. H. Lewis, Pat Verga, Isabelle Augenstein |
| 2025 | EMNLP | Multi-Modal Framing Analysis of News. | Arnav Arora, Srishti Yadav, Maria Antoniak, Serge J. Belongie, Isabelle Augenstein |
| 2025 | EMNLP | Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics. | Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent |
| 2025 | EMNLP | Presumed Cultural Identity: How Names Shape LLM Responses. | Siddhesh Pawar, Arnav Arora, Lucie-Aime Kaffee, Isabelle Augenstein |
| 2025 | EMNLP | Explainability and Interpretability of Multilingual Large Language Models: A Survey. | Lucas Resck, Isabelle Augenstein, Anna Korhonen |
| 2025 | EMNLP | Unstructured Evidence Attribution for Long Context Query Focused Summarization. | Dustin Wright, Zain Muhammad Mujahid, Lu Wang, Isabelle Augenstein, David Jurgens |
| 2025 | EMNLP | Graph-Guided Textual Explanation Generation Framework. | Shuzhou Yuan, Jingyi Sun, Ran Zhang, Michael Frber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein |
| 2025 | NAACL | Investigating Human Values in Online Communities. | Nadav Borenstein, Arnav Arora, Lucie-Aime Kaffee, Isabelle Augenstein |
| 2025 | NAACL | Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations. | Yong Cao, Haijiang Liu, Arnav Arora, Isabelle Augenstein, Paul Rttger, Daniel Hershcovich |
| 2025 | NAACL | Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language. | Amalie Brogaard Pauli, Isabelle Augenstein, Ira Assent |
| 2025 | NAACL | Evaluating Input Feature Explanations through a Unified Diagnostic Evaluation Framework. | Jingyi Sun, Pepa Atanasova, Isabelle Augenstein |
| 2025 | SIGIR | Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking. | Kevin Roitero, Dustin Wright, Michael Soprano, Isabelle Augenstein, Stefano Mizzaro |
| 2024 | ACL | 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 |
| 2024 | ACL | Investigating the Impact of Model Instability on Explanations and Uncertainty. | Sara Marjanovic, Isabelle Augenstein, Christina Lioma |
| 2024 | ACL | Understanding Fine-grained Distortions in Reports of Scientific Findings. | Amelie Whrl, Dustin Wright, Roman Klinger, Isabelle Augenstein |
| 2024 | ACL | Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods. | Haeun Yu, Pepa Atanasova, Isabelle Augenstein |
| 2024 | EACL | Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models. | Erik Arakelyan, Zhaoqi Liu, Isabelle Augenstein |
| 2024 | EMNLP | LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models. | Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein |
| 2024 | EMNLP | Social Bias Probing: Fairness Benchmarking for Language Models. | Marta Marchiori Manerba, Karolina Stanczak, Riccardo Guidotti, Isabelle Augenstein |
| 2024 | EMNLP | DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. | Sara Marjanovic, Haeun Yu, Pepa Atanasova, Maria Maistro, Christina Lioma, Isabelle Augenstein |
| 2024 | EMNLP | Can Transformers Learn n-gram Language Models? | Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell |
| 2024 | EMNLP | Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. | Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov |
| 2023 | AAAI | A Latent-Variable Model for Intrinsic Probing. | Karolina Stanczak, Lucas Torroba Hennigen, Adina Williams, Ryan Cotterell, Isabelle Augenstein |
| 2023 | ACL | Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. | Erik Arakelyan, Arnav Arora, Isabelle Augenstein |
| 2023 | ACL | Faithfulness Tests for Natural Language Explanations. | Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein |
| 2023 | ACL | Multilingual Event Extraction from Historical Newspaper Adverts. | Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein |
| 2023 | ACL | Measuring Intersectional Biases in Historical Documents. | Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha Klein Kfer, Natalia da Silva Perez, Isabelle Augenstein |
| 2023 | EMNLP | PHD: Pixel-Based Language Modeling of Historical Documents. | Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein |
| 2023 | EMNLP | Explaining Interactions Between Text Spans. | Sagnik Ray Choudhury, Pepa Atanasova, Isabelle Augenstein |
| 2023 | EMNLP | Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. | Lucie-Aime Kaffee, Arnav Arora, Isabelle Augenstein |
| 2023 | EMNLP | Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. | Lucie-Aime Kaffee, Arnav Arora, Zeerak Talat, Isabelle Augenstein |
| 2023 | EMNLP | 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 M. P. van der Aalst, Claudia Wagner |
| 2022 | AAAI | Diagnostics-Guided Explanation Generation. | Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein |
| 2022 | AAAI | Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. | Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein |
| 2022 | AAAI | Longitudinal Citation Prediction using Temporal Graph Neural Networks. | Andreas Nugaard Holm, Barbara Plank, Dustin Wright, Isabelle Augenstein |
| 2022 | ACL | Generating Scientific Claims for Zero-Shot Scientific Fact Checking. | Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang |
| 2022 | COLING | Can Edge Probing Tests Reveal Linguistic Knowledge in QA Models? | Sagnik Ray Choudhury, Nikita Bhutani, Isabelle Augenstein |
| 2022 | COLING | Machine Reading, Fast and Slow: When Do Models "Understand" Language? | Sagnik Ray Choudhury, Anna Rogers, Isabelle Augenstein |
| 2022 | EAMT | Multi3Generation: Multitask, Multilingual, Multimodal Language Generation. | Anabela Barreiro, Jos G. C. de Souza, Albert Gatt, Mehul Bhatt, Elena Lloret, Aykut Erdem, Dimitra Gkatzia, Helena Moniz, Irene Russo, Fbio N. Kepler, Iacer Calixto, Marcin Paprzycki, Franois Portet, Isabelle Augenstein, Mirela Alhasani |
| 2022 | EMNLP | Modeling Information Change in Science Communication with Semantically Matched Paraphrases. | Dustin Wright, Jiaxin Pei, David Jurgens, Isabelle Augenstein |
| 2022 | EMNLP | Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings. | Malte Ostendorff, Nils Rethmeier, Isabelle Augenstein, Bela Gipp, Georg Rehm |
| 2022 | NAACL | A Survey on Stance Detection for Mis- and Disinformation Identification. | Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein |
| 2022 | NAACL | Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection. | Indira Sen, Mattia Samory, Claudia Wagner, Isabelle Augenstein |
| 2022 | NAACL | Same Neurons, Different Languages: Probing Morphosyntax in Multilingual Pre-trained Models. | Karolina Stanczak, Edoardo M. Ponti, Lucas Torroba Hennigen, Ryan Cotterell, Isabelle Augenstein |
| 2021 | ACL | Is Sparse Attention more Interpretable? | Clara Meister, Stefan Lazov, Isabelle Augenstein, Ryan Cotterell |
| 2021 | ACL | CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding. | Dustin Wright, Isabelle Augenstein |
| 2021 | EACL | Does Typological Blinding Impede Cross-Lingual Sharing? | Johannes Bjerva, Isabelle Augenstein |
| 2021 | EMNLP | Semi-Supervised Exaggeration Detection of Health Science Press Releases. | Dustin Wright, Isabelle Augenstein |
| 2021 | EMNLP | Cross-Domain Label-Adaptive Stance Detection. | Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein |
| 2021 | EMNLP | How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs? | Indira Sen, Mattia Samory, Fabian Flck, Claudia Wagner, Isabelle Augenstein |
| 2021 | IJCAI | Multi-Hop Fact Checking of Political Claims. | Wojciech Ostrowski, Arnav Arora, Pepa Atanasova, Isabelle Augenstein |
| 2020 | AAAI | Back to the Future - Temporal Adaptation of Text Representations. | Johannes Bjerva, Wouter M. Kouw, Isabelle Augenstein |
| 2020 | ACL | 2kenize: Tying Subword Sequences for Chinese Script Conversion. | Pranav A, Isabelle Augenstein |
| 2020 | ACL | Generating Fact Checking Explanations. | Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein |
| 2020 | EMNLP | A Diagnostic Study of Explainability Techniques for Text Classification. | Pepa Atanasova, Jakob Grue Simonsen, Christina Lioma, Isabelle Augenstein |
| 2020 | EMNLP | Generating Label Cohesive and Well-Formed Adversarial Claims. | Pepa Atanasova, Dustin Wright, Isabelle Augenstein |
| 2020 | EMNLP | SubjQA: A Dataset for Subjectivity and Review Comprehension. | Johannes Bjerva, Nikita Bhutani, Behzad Golshan, Wang-Chiew Tan, Isabelle Augenstein |
| 2020 | EMNLP | Zero-Shot Cross-Lingual Transfer with Meta Learning. | Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, Isabelle Augenstein |
| 2020 | EMNLP | What Can We Do to Improve Peer Review in NLP? | Anna Rogers, Isabelle Augenstein |
| 2020 | EMNLP | Claim Check-Worthiness Detection as Positive Unlabelled Learning. | Dustin Wright, Isabelle Augenstein |
| 2020 | EMNLP | Transformer Based Multi-Source Domain Adaptation. | Dustin Wright, Isabelle Augenstein |
| 2020 | WWW | Semantic Textual Similarity of Sentences with Emojis. | Alok Debnath, Nikhil Pinnaparaju, Manish Shrivastava, Vasudeva Varma, Isabelle Augenstein |
| 2020 | UAI | TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP. | Nils Rethmeier, Vageesh Kumar Saxena, Isabelle Augenstein |
| 2019 | AAAI | Latent Multi-Task Architecture Learning. | Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Sgaard |
| 2019 | ACL | Uncovering Probabilistic Implications in Typological Knowledge Bases. | Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein |
| 2019 | ACL | Unsupervised Discovery of Gendered Language through Latent-Variable Modeling. | Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Isabelle Augenstein, Ryan Cotterell |
| 2019 | EMNLP | MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims. | Isabelle Augenstein, Christina Lioma, Dongsheng Wang, Lucas Chaves Lima, Casper Hansen, Christian Hansen, Jakob Grue Simonsen |
| 2019 | NAACL | A Probabilistic Generative Model of Linguistic Typology. | Johannes Bjerva, Yova Kementchedjhieva, Ryan Cotterell, Isabelle Augenstein |
| 2019 | NAACL | Issue Framing in Online Discussion Fora. | Mareike Hartmann, Tallulah Jansen, Isabelle Augenstein, Anders Sgaard |
| 2019 | NAACL | Combining Sentiment Lexica with a Multi-View Variational Autoencoder. | Alexander Miserlis Hoyle, Lawrence Wolf-Sonkin, Hanna M. Wallach, Ryan Cotterell, Isabelle Augenstein |
| 2018 | ACL | Jack the Reader - A Machine Reading Framework. | Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl, Tim Rocktschel, Matko Bosnjak, Jeff Mitchell, Thomas Demeester, Tim Dettmers, Pontus Stenetorp, Sebastian Riedel |
| 2018 | CoNLL | Copenhagen at CoNLL-SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding. | Yova Kementchedjhieva, Johannes Bjerva, Isabelle Augenstein |
| 2018 | EMNLP | A strong baseline for question relevancy ranking. | Ana Valeria Gonzlez-Garduo, Isabelle Augenstein, Anders Sgaard |
| 2018 | EMNLP | Parameter sharing between dependency parsers for related languages. | Miryam de Lhoneux, Johannes Bjerva, Isabelle Augenstein, Anders Sgaard |
| 2018 | EMNLP | Nightmare at test time: How punctuation prevents parsers from generalizing. | Anders Sgaard, Miryam de Lhoneux, Isabelle Augenstein |
| 2018 | NAACL | Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces. | Isabelle Augenstein, Sebastian Ruder, Anders Sgaard |
| 2018 | NAACL | From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings. | Johannes Bjerva, Isabelle Augenstein |
| 2017 | ACL | Multi-Task Learning of Keyphrase Boundary Classification. | Isabelle Augenstein, Anders Sgaard |
| 2017 | CoNLL | A Supervised Approach to Extractive Summarisation of Scientific Papers. | Ed Collins, Isabelle Augenstein, Sebastian Riedel |
| 2016 | EMNLP | Stance Detection with Bidirectional Conditional Encoding. | Isabelle Augenstein, Tim Rocktschel, Andreas Vlachos, Kalina Bontcheva |
| 2016 | EMNLP | Numerically Grounded Language Models for Semantic Error Correction. | Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel |
| 2016 | LREC | Monolingual Social Media Datasets for Detecting Contradiction and Entailment. | Piroska Lendvai, Isabelle Augenstein, Kalina Bontcheva, Thierry Declerck |
| 2015 | EMNLP | Extracting Relations between Non-Standard Entities using Distant Supervision and Imitation Learning. | Isabelle Augenstein, Andreas Vlachos, Diana Maynard |
| 2014 | EKAW | Relation Extraction from the Web Using Distant Supervision. | Isabelle Augenstein, Diana Maynard, Fabio Ciravegna |
| 2013 | ACL | Mining Equivalent Relations from Linked Data. | Ziqi Zhang, Anna Lisa Gentile, Isabelle Augenstein, Eva Blomqvist, Fabio Ciravegna |