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Online Detection of Attentiveness of Students with Special Needs., , , , , , , and . ACII, page 1-8. IEEE, (2022)The Scope of In-Context Learning for the Extraction of Medical Temporal Constraints., , , , , , and . ICHI, page 601-609. IEEE, (2023)Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation., , , , , , and . EMNLP (1), page 2612-2623. Association for Computational Linguistics, (2020)Scope of Large Language Models for Mining Emerging Opinions in Online Health Discourse., , , , and . CoRR, (2024)Scope of Pre-trained Language Models for Detecting Conflicting Health Information., , and . CoRR, (2022)Do LLMs Find Human Answers To Fact-Driven Questions Perplexing? A Case Study on Reddit., , , , and . CoRR, (2024)AntiqueData: A Proxy to Maintain Computational Transparency in Cloud., , , and . DASFAA Workshops, volume 8505 of Lecture Notes in Computer Science, page 256-267. Springer, (2014)A Real-Time Crowd-Powered Testbed for Content Assessment of Potential Social Media Posts., , , , , and . SocInfo, volume 9471 of Lecture Notes in Computer Science, page 136-152. Springer, (2015)HealthE: Recognizing Health Advice & Entities in Online Health Communities., , , , and . ICWSM, page 1024-1033. AAAI Press, (2023)Theme-driven Keyphrase Extraction from Social Media on Opioid Recovery., , , , and . CoRR, (2023)