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IIITH at SemEval-2022 Task 5: A comparative study of deep learning models for identifying misogynous memes., , and . SemEval@NAACL, page 673-678. Association for Computational Linguistics, (2022)Neural Models for Factual Inconsistency Classification with Explanations., , , , , , and . ECML/PKDD (3), volume 14171 of Lecture Notes in Computer Science, page 410-427. Springer, (2023)Leveraging Multilingual Transformers for Hate Speech Detection., , , , and . FIRE (Working Notes), volume 2826 of CEUR Workshop Proceedings, page 128-138. CEUR-WS.org, (2020)Med42 - Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches., , , , , , , , , and 6 other author(s). CoRR, (2024)Task Adaptive Pretraining of Transformers for Hostility Detection., , , , and . CONSTRAINT@AAAI, volume 1402 of Communications in Computer and Information Science, page 236-243. Springer, (2021)IIITH at SemEval-2021 Task 7: Leveraging transformer-based humourous and offensive text detection architectures using lexical and hurtlex features and task adaptive pretraining., , , and . SemEval@ACL/IJCNLP, page 1221-1225. Association for Computational Linguistics, (2021)Leveraging Mental Health Forums for User-level Depression Detection on Social Media., , , , , and . LREC, page 5418-5427. European Language Resources Association, (2022)iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers., , , , and . CoRR, (2024)