Search Results for author: Arghya Sarkar

Found 2 papers, 0 papers with code

FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering

no code implementations22 May 2023 Megha Chakraborty, Khushbu Pahwa, Anku Rani, Shreyas Chatterjee, Dwip Dalal, Harshit Dave, Ritvik G, Preethi Gurumurthy, Adarsh Mahor, Samahriti Mukherjee, Aditya Pakala, Ishan Paul, Janvita Reddy, Arghya Sarkar, Kinjal Sensharma, Aman Chadha, Amit P. Sheth, Amitava Das

To address this gap, we introduce FACTIFY 3M, a dataset of 3 million samples that pushes the boundaries of the domain of fact verification via a multimodal fake news dataset, in addition to offering explainability through the concept of 5W question-answering.

Fact Verification Question Answering

LMCanvas: Object-Oriented Interaction to Personalize Large Language Model-Powered Writing Environments

no code implementations27 Mar 2023 Tae Soo Kim, Arghya Sarkar, Yoonjoo Lee, Minsuk Chang, Juho Kim

However, these interfaces provide limited support for writers to create personal tools for their own unique tasks, and may not comprehensively fulfill a writer's needs -- requiring them to continuously switch between interfaces during writing.

Language Modelling Large Language Model

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