Cross-Domain Label-Adaptive Stance Detection. - Momchil Hardalov; Arnav Arora; Preslav Nakov; Isabelle Augenstein (EMNLP (1), 2021)

Multi-Hop Fact Checking of Political Claims. - Wojciech Ostrowski; Arnav Arora; Pepa Atanasova; Isabelle Augenstein (IJCAI, 2021)

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. - Momchil Hardalov; Arnav Arora; Preslav Nakov; Isabelle Augenstein (AAAI, 2022)

A Survey on Stance Detection for Mis- and Disinformation Identification. - Momchil Hardalov; Arnav Arora; Preslav Nakov; Isabelle Augenstein (NAACL-HLT (Findings), 2022)

Probing Pre-Trained Language Models for Cross-Cultural Differences in Values. - Arnav Arora; Lucie-Aimée Kaffee; Isabelle Augenstein (CoRR, 2022)

Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection. - Erik Arakelyan; Arnav Arora; Isabelle Augenstein (ACL (1), 2023)

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions. - Lucie-Aimée Kaffee; Arnav Arora; Isabelle Augenstein (EMNLP, 2023)

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing. - Lucie-Aimée Kaffee; Arnav Arora; Zeerak Talat; Isabelle Augenstein (EMNLP (Findings), 2023)

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output. - 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; et al. (CoRR, 2023)

The Uli Dataset: An Exercise in Experience Led Annotation of oGBV. - Arnav Arora; Maha Jinadoss; Cheshta Arora; Denny George; Brindaalakshmi; Haseena Dawood Khan; Kirti Rawat; Div; Ritash; Seema Mathur; Shivani Yadav; Shehla Rashid Shora; et al. (CoRR, 2023)

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models. - Dustin Wright 001; Arnav Arora; Nadav Borenstein; Srishti Yadav; Serge J. Belongie; Isabelle Augenstein (EMNLP (Findings), 2024)

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; et al. (EMNLP (Findings), 2024)

Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages. - Aatman Vaidya; Arnav Arora; Aditya Joshi; Tarunima Prabhakar (CoRR, 2024)

RLSF: Reinforcement Learning via Symbolic Feedback. - Piyush Jha; Prithwish Jana; Arnav Arora; Vijay Ganesh 001 (CoRR, 2024)

Revealing Fine-Grained Values and Opinions in Large Language Models. - Dustin Wright 001; Arnav Arora; Nadav Borenstein; Srishti Yadav; Serge J. Belongie; Isabelle Augenstein (CoRR, 2024)

Survey of Cultural Awareness in Language Models: Text and Beyond. - Siddhesh Pawar; Junyeong Park; Jiho Jin; Arnav Arora; Junho Myung; Srishti Yadav; Faiz Ghifari Haznitrama; Inhwa Song; Alice Oh; Isabelle Augenstein (CoRR, 2024)

LLMStinger: Jailbreaking LLMs using RL fine-tuned LLMs. - Piyush Jha; Arnav Arora; Vijay Ganesh 001 (CoRR, 2024)

Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go. - Arnav Arora; Preslav Nakov; Momchil Hardalov; Sheikh Muhammad Sarwar; Vibha Nayak; Yoan Dinkov; Dimitrina Zlatkova; Kyle Dent; Ameya Bhatawdekar; Guillaume Bouchard; Isabelle Augenstein (ACM Comput. Surv., 2024)

LLM Stinger: Jailbreaking LLMs Using RL Fine-Tuned LLMs (Student Abstract). - Piyush Jha; Arnav Arora; Vijay Ganesh 001 (AAAI, 2025)

A Reality Check on Context Utilisation for Retrieval-Augmented Generation. - Lovisa Hagström; Sara Vera Marjanovic; Haeun Yu; Arnav Arora; Christina Lioma; Maria Maistro; Pepa Atanasova; Isabelle Augenstein (ACL (1), 2025)

Investigating Human Values in Online Communities. - Nadav Borenstein; Arnav Arora; Lucie-Aimée Kaffee; Isabelle Augenstein (NAACL (Long Papers), 2025)

Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations. - Yong Cao 001; Haijiang Liu; Arnav Arora; Isabelle Augenstein; Paul Röttger; Daniel Hershcovich (NAACL (Long Papers), 2025)

Presumed Cultural Identity: How Names Shape LLM Responses. - Siddhesh Pawar; Arnav Arora; Lucie-Aimée Kaffee; Isabelle Augenstein (CoRR, 2025)

Multi-Modal Framing Analysis of News. - Arnav Arora; Srishti Yadav; Maria Antoniak; Serge J. Belongie; Isabelle Augenstein (CoRR, 2025)

Beyond the Battlefield: Framing Analysis of Media Coverage in Conflict Reporting. - Avneet Kaur; Arnav Arora (CoRR, 2025)

BiasGym: Fantastic LLM Biases and How to Find (and Remove) Them. - Sekh Mainul Islam; Nadav Borenstein; Siddhesh Pawar; Haeun Yu; Arnav Arora; Isabelle Augenstein (CoRR, 2025)