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IITP at SemEval-2017 Task 5: An Ensemble of Deep Learning and Feature Based Models for Financial Sentiment Analysis., , , , and . SemEval@ACL, page 899-903. Association for Computational Linguistics, (2017)Text-to-Audio Generation using Instruction Guided Latent Diffusion Model., , , and . ACM Multimedia, page 3590-3598. ACM, (2023)Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering., , , and . EMNLP, page 10158-10166. Association for Computational Linguistics, (2022)Language Guided Visual Question Answering: Elevate Your Multimodal Language Model Using Knowledge-Enriched Prompts., , , , and . EMNLP (Findings), page 12096-12102. Association for Computational Linguistics, (2023)Deep Ensemble Model with the Fusion of Character, Word and Lexicon Level Information for Emotion and Sentiment Prediction., , , and . ICONIP (5), volume 11305 of Lecture Notes in Computer Science, page 162-174. Springer, (2018)Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning., , , and . CoRR, (2024)Improving Zero Shot Learning Baselines with Commonsense Knowledge., , , , , and . CoRR, (2020)Persuasive Dialogue Understanding: the Baselines and Negative Results., , , , and . CoRR, (2020)Contextual Inter-modal Attention for Multi-modal Sentiment Analysis., , , , , and . EMNLP, page 3454-3466. Association for Computational Linguistics, (2018)A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis., , , , and . EMNLP, page 540-546. Association for Computational Linguistics, (2017)