Arnav Arora

Arnav Arora

PhD fellow

ORCID: 0000-0003-4891-2677

Publication year:
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1 - 10 out of 10Page size: 10
  1. 2023

  2. Detecting Harmful Content on Online Platforms: What Platforms Need vs. Where Research Efforts Go

    Arora, Arnav, Nakov, P., Hardalov, M., Sarwar, S. M., Nayak, V., Dinkov, Y., Zlatkova, D., Dent, K., Bhatawdekar, A., Bouchard, G. & Augenstein, Isabelle, 2023, In: ACM Computing Surveys. 56, 3, p. 1-17 72.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    Probing Pre-Trained Language Models for Cross-Cultural Differences in Values

    Arora, Arnav, Kaffee, L. & Augenstein, Isabelle, 2023, Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP). Association for Computational Linguistics (ACL), p. 114-130

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  4. Published

    Thorny Roses: Investigating the Dual Use Dilemma in Natural Language Processing

    Kaffee, L., Arora, Arnav, Talat, Z. & Augenstein, Isabelle, 2023, Findings of the Association for Computational Linguistics: EMNLP 2023. Association for Computational Linguistics (ACL), p. 13977-13998

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection

    Arakelyan, Erik, Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Long papers. Association for Computational Linguistics (ACL), Vol. 1. p. 13448-13464

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  6. Published

    Why Should This Article Be Deleted? Transparent Stance Detection in Multilingual Wikipedia Editor Discussions

    Kaffee, L., Arora, Arnav & Augenstein, Isabelle, 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics (ACL), p. 5891-5909

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. 2022
  8. Published

    A Survey on Stance Detection for Mis- and Disinformation Identification

    Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, Findings of the Association for Computational Linguistics: NAACL 2022 - Findings. Association for Computational Linguistics (ACL), p. 1259-1277

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  9. Published

    Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-Training

    Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2022, In: Proceedings of the International Joint Conference on Artificial Intelligence. 36, 10, p. 10729-10737.

    Research output: Contribution to journal › Conference article › Research › peer-review

  10. Published

    Probing Pre-Trained Language Models for Cross-Cultural Differences in Values

    Arora, Arnav, Kaffee, L. F. & Augenstein, Isabelle, 2022, arxiv.org, 11 p.

    Research output: Working paper › Preprint › Research

  11. 2021
  12. Published

    Cross-Domain Label-Adaptive Stance Detection

    Hardalov, M., Arora, Arnav, Nakov, P. & Augenstein, Isabelle, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, p. 9011-9028

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  13. Published

    Multi-Hop Fact Checking of Political Claims

    Ostrowski, W., Arora, Arnav, Atanasova, Pepa Kostadinova & Augenstein, Isabelle, 2021, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence, Vol. CoRR 2020. p. 3892-3898 (arXiv.org).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

ID: 247674795