Memebusters at SemEval-2020 Task 8: Feature Fusion Model for Sentiment Analysis on Memes Using Transfer Learning. - Mayukh Sharma; Ilanthenral Kandasamy; W. B. Vasantha 001 (SemEval@COLING, 2020)

YoungSheldon at SemEval-2021 Task 5: Fine-tuning Pre-trained Language Models for Toxic Spans Detection using Token classification Objective. - Mayukh Sharma; Ilanthenral Kandasamy; W. B. Vasantha 001 (SemEval@ACL/IJCNLP, 2021)

YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You Need. - Mayukh Sharma; Ilanthenral Kandasamy; W. B. Vasantha 001 (SemEval@ACL/IJCNLP, 2021)

Deep Learning for predicting neutralities in Offensive Language Identification Dataset. - Mayukh Sharma; Ilanthenral Kandasamy; W. B. Vasantha Kandasamy 001 (Expert Syst. Appl., 2021)

Comparison of neutrosophic approach to various deep learning models for sentiment analysis. - Mayukh Sharma; Ilanthenral Kandasamy; W. B. Vasantha 001 (Knowl. Based Syst., 2021)

R2D2 at SemEval-2022 Task 5: Attention is only as good as its Values! A multimodal system for identifying misogynist memes. - Mayukh Sharma; Ilanthenral Kandasamy; W. B. Vasantha 001 (SemEval@NAACL, 2022)

R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm. - Mayukh Sharma; Ilanthenral Kandasamy; W. B. Vasantha 001 (SemEval@NAACL, 2022)

Emotion quantification and classification using the neutrosophic approach to deep learning. - Mayukh Sharma; Ilanthenral Kandasamy; W. B. Vasantha 001 (Appl. Soft Comput., 2023)

Linear Layer Extrapolation for Fine-Grained Emotion Classification. - Mayukh Sharma; Sean O'Brien; Julian J. McAuley (EMNLP, 2024)