| A survey on stance detection for mis-and disinformation identification M Hardalov, A Arora, P Nakov, I Augenstein Findings of the Association for Computational Linguistics: NAACL 2022, pages …, 2021 | 139 | 2021 |
| Probing Pre-trained Language Models for Cross-Cultural Differences in Values A Arora, LA Kaffee, I Augenstein The 17th Conference of the European Chapter of the Association for …, 2022 | 114 | 2022 |
| Cross-domain label-adaptive stance detection M Hardalov, A Arora, P Nakov, I Augenstein Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 77 | 2021 |
| Few-shot cross-lingual stance detection with sentiment-based pre-training M Hardalov, A Arora, P Nakov, I Augenstein Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 10729 …, 2022 | 69 | 2022 |
| Factcheck-Bench: fine-grained evaluation benchmark for automatic fact-checkers Y Wang, RG Reddy, ZM Mujahid, A Arora, A Rubashevskii, J Geng, ... EMNLP 2024, 2024 | 49* | 2024 |
| Detecting harmful content on online platforms: what platforms need vs. where research efforts go A Arora, P Nakov, M Hardalov, SM Sarwar, V Nayak, Y Dinkov, D Zlatkova, ... ACM Computing Surveys 56 (3), 1-17, 2023 | 49 | 2023 |
| Multi-hop fact checking of political claims W Ostrowski, A Arora, P Atanasova, I Augenstein Proceedings of the Thirtieth International Joint Conference on Artificial …, 2020 | 44 | 2020 |
| Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection E Arakelyan, A Arora, I Augenstein Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 9 | 2023 |
| Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing LA Kaffee, A Arora, Z Talat, I Augenstein Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 8 | 2023 |
| Revealing Fine-Grained Values and Opinions in Large Language Models D Wright, A Arora, N Borenstein, S Yadav, S Belongie, I Augenstein Findings of EMNLP 2024, 2024 | 4 | 2024 |
| Investigating Human Values in Online Communities N Borenstein, A Arora, LA Kaffee, I Augenstein arXiv preprint arXiv:2402.14177, 2024 | 4 | 2024 |
| Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions LA Kaffee, A Arora, I Augenstein Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 3 | 2023 |
| The Uli Dataset: An Exercise in Experience Led Annotation of oGBV A Arora, M Jinadoss, C Arora, D George, HD Khan, K Rawat, S Mathur, ... Workshop on Online Abuse and Harms (WOAH), NAACL 2024, 2023 | 1 | 2023 |
| LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models D Wright, A Arora, N Borenstein, S Yadav, S Belongie, I Augenstein Findings of the Association for Computational Linguistics: EMNLP 2024, 17085 …, 2024 | | 2024 |
| Survey of Cultural Awareness in Language Models: Text and Beyond S Pawar, J Park, J Jin, A Arora, J Myung, S Yadav, FG Haznitrama, I Song, ... arXiv preprint arXiv:2411.00860, 2024 | | 2024 |
| Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages A Vaidya, A Arora, A Joshi, T Prabhakar arXiv preprint arXiv:2401.03677, 2024 | | 2024 |
| Cross-domain label-adaptive stance detection PI Nakov, M Hardalov, I Augenstein, A Arora US Patent App. 17/871,206, 2023 | | 2023 |
Isabelle AugensteinFull Professor, Department of Computer Science, University of CopenhagenVerified email at di.ku.dk
