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Piush Aggarwal

Essen University Hospital

Research areas: Computer Science · Artificial Intelligence · Hate Speech and Cyberbullying Detection · Misinformation and Its Impacts · Sentiment Analysis and Opinion Mining

ORCID iD 0000-0003-1339-0549
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Publications (16)

  • Flexible LLM experimental infrastructure (flexi)--enabling experimentation and innovation in higher education through access to open llms
    2024 21st International Conference on Information Technology Based Higher Education and Training (ITHET) 2024
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  • Text or image? What is more important in cross-domain generalization capabilities of hate meme detection models?
    Findings of the Association for Computational Linguistics: EACL 2024 2024
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  • HateProof: Are Hateful Meme Detection Systems really Robust?
    Piush Aggarwal, Pranit Chawla, Mithun Das +4 more
    2023 DOI: 10.1145/3543507.3583356
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  • Proceedings of the 1st workshop on linguistic insights from and for multimodal language processing
    Proceedings of the 1st Workshop on Linguistic Insights from and for Multimodal Language Processing 2023
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  • Analyzing the real vulnerability of hate speech detection systems against targeted intentional noise
    Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022) 2022
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  • Bye, Bye, Maintenance Work? Using Model Cloning to Approximate the Behavior of Legacy Tools
    Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022) 2022
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  • An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action [version 2; peer review: 2 approved]
    2021 DOI: 10.12688/f1000research.23224.2
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  • Fully vs. weakly supervised caries localization in smartphone images with CNNs
    International Conference on Pattern Recognition 2021
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  • Germemehate: A parallel dataset of german hateful memes translated from english
    Multimodal Hate Speech Workshop 2021
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  • Vl-bert+: Detecting protected groups in hateful multimodal memes
    Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021) 2021
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  • An environment for sustainable research software in Germany and beyond: current state, open challenges, and call for action
    F1000Research 2020 DOI: 10.12688/f1000research.23224.1
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  • Classification approaches to identify informative tweets
    Proceedings Of The Student Research Workshop Associated with RANLP 2019 2019
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  • Identification of good and bad news on Twitter
    Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) 2019
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  • LTL-UDE at SemEval-2019 Task 6: BERT and two-vote classification for categorizing offensiveness
    Proceedings of the 13th International Workshop on Semantic Evaluation 2019
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  • Information nutrition labels: A plugin for online news evaluation
    Proceedings of the first workshop on fact extraction and verification (FEVER) 2018
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  • Towards reliable multi-modal hate detection: a framework of granularity, robustness, transferability, and interpretability
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