Arnav Arora

Orcid: 0000-0003-4891-2677

According to our database1, Arnav Arora authored at least 20 papers between 2021 and 2024.

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Bibliography

2024
Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go.
ACM Comput. Surv., March, 2024

A Reality Check on Context Utilisation for Retrieval-Augmented Generation.
CoRR, 2024

LLMStinger: Jailbreaking LLMs using RL fine-tuned LLMs.
CoRR, 2024

Survey of Cultural Awareness in Language Models: Text and Beyond.
CoRR, 2024

Revealing Fine-Grained Values and Opinions in Large Language Models.
CoRR, 2024

RLSF: Reinforcement Learning via Symbolic Feedback.
CoRR, 2024

Investigating Human Values in Online Communities.
CoRR, 2024

Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages.
CoRR, 2024

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
The Uli Dataset: An Exercise in Experience Led Annotation of oGBV.
CoRR, 2023

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

Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Probing Pre-Trained Language Models for Cross-Cultural Differences in Values.
CoRR, 2022

A Survey on Stance Detection for Mis- and Disinformation Identification.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multi-Hop Fact Checking of Political Claims.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Cross-Domain Label-Adaptive Stance Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021


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