A reverse-chronological list. For a current view see Google Scholar or OpenReview .
2025
- Multi-Modal Framing Analysis of News. A. Arora, S. Yadav, M. Antoniak, S. Belongie, I. Augenstein. EMNLP 2025.
- Presumed Cultural Identity: How Names Shape LLM Responses. S. Pawar, A. Arora, L.-A. Kaffee, I. Augenstein. Findings of EMNLP 2025.
- Survey of Cultural Awareness in Language Models: Text and Beyond. S. Pawar, J. Park, J. Jin, A. Arora, J. Myung, S. Yadav, F. G. Haznitrama, I. Song, et al. Computational Linguistics 51(3), 2025.
- Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations. Y. Cao, H. Liu, A. Arora, I. Augenstein, P. Röttger, D. Hershcovich. NAACL 2025.
- Investigating Human Values in Online Communities. N. Borenstein, A. Arora, L.-A. Kaffee, I. Augenstein. NAACL 2025.
- A Reality Check on Context Utilisation for Retrieval-Augmented Generation. L. Hagström, S. V. Marjanovic, H. Yu, A. Arora, C. Lioma, M. Maistro, et al. ACL 2025.
- A Multilingual, Large-Scale Study of the Interplay between LLM Safeguards, Personalisation, and Disinformation. J. A. Leite, A. Arora, S. Gargova, J. Luz, G. Sampaio, I. Roberts, C. Scarton, et al. arXiv:2510.12993 , 2025.
- BiasGym: Fantastic LLM Biases and How to Find (and Remove) Them. S. Mainul Islam, N. Borenstein, S. Milind Pawar, H. Yu, A. Arora, I. Augenstein. arXiv:2508.08855 , 2025.
- Beyond the Battlefield: Framing Analysis of Media Coverage in Conflict Reporting. A. Kaur, A. Arora. arXiv:2506.10421 , 2025.
2024
- Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-Checkers. Y. Wang, R. G. Reddy, Z. M. Mujahid, A. Arora, A. Rubashevskii, J. Geng, et al. EMNLP 2024.
- Revealing Fine-Grained Values and Opinions in Large Language Models. D. Wright, A. Arora, N. Borenstein, S. Yadav, S. Belongie, I. Augenstein. EMNLP 2024.
2023
- Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go. A. Arora, P. Nakov, M. Hardalov, S. M. Sarwar, V. Nayak, Y. Dinkov, D. Zlatkova, et al. ACM Computing Surveys 56(3), 2023.
- Topic-Guided Sampling for Data-Efficient Multi-Domain Stance Detection. E. Arakelyan, A. Arora, I. Augenstein. ACL 2023.
- Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. L.-A. Kaffee, A. Arora, Z. Talat, I. Augenstein. Findings of EMNLP 2023.
- Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. L.-A. Kaffee, A. Arora, I. Augenstein. EMNLP 2023.
2022
- Probing Pre-Trained Language Models for Cross-Cultural Differences in Values. A. Arora, L.-A. Kaffee, I. Augenstein. C3NLP workshop at EACL 2022.
- A Survey on Stance Detection for Mis- and Disinformation Identification. M. Hardalov, A. Arora, P. Nakov, I. Augenstein. Findings of NAACL 2022.
- Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training. M. Hardalov, A. Arora, P. Nakov, I. Augenstein. AAAI 2022.
2021
- Cross-Domain Label-Adaptive Stance Detection. M. Hardalov, A. Arora, P. Nakov, I. Augenstein. EMNLP 2021.
- Multi-Hop Fact Checking of Political Claims. W. Ostrowski, A. Arora, P. Atanasova, I. Augenstein. IJCAI 2021.