A comprehensive survey of hallucination mitigation techniques in large language models SM Tonmoy, SM Zaman, V Jain, A Rani, V Rawte, A Chadha, A Das
arXiv preprint arXiv:2401.01313, 2024
183 2024 Factify 2: A multimodal fake news and satire news dataset S Suryavardan, S Mishra, P Patwa, M Chakraborty, A Rani, A Reganti, ...
Defactify workshop at AAAI 2023, 2023
31 2023 Findings of factify 2: multimodal fake news detection S Suryavardan, S Mishra, M Chakraborty, P Patwa, A Rani, A Chadha, ...
Defactify workshop at AAAI 2023, 2023
18 2023 FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering A Rani, SM Tonmoy, D Dalal, S Gautam, M Chakraborty, A Chadha, ...
ACL 2023 Main conference, 2023
15 2023 Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes S Mishra, S Suryavardan, P Patwa, M Chakraborty, A Rani, A Reganti, ...
Memotion at AAAI 2023, 2023
15 2023 Use of formal ethical reviews in nlp literature: historical trends and current practices S Santy, A Rani, M Choudhury
ACL 2021 Findings, 2021
9 2021 A comprehensive survey of hallucination mitigation techniques in large language models. arXiv S Tonmoy, SMM Zaman, V Jain, A Rani, V Rawte, A Chadha, A Das
arXiv preprint arXiv:2401.01313, 2024
7 2024 Visual Hallucination: Definition, Quantification, and Prescriptive Remediations A Rani, V Rawte, H Sharma, N Anand, K Rajbangshi, A Sheth, A Das
arXiv preprint arXiv:2403.17306, 2024
6 2024 Overview of memotion 3: Sentiment and emotion analysis of codemixed hinglish memes S Mishra, S Suryavardan, M Chakraborty, P Patwa, A Rani, A Chadha, ...
arXiv preprint arXiv:2309.06517, 2023
3 2023 A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models SM Towhidul Islam Tonmoy, SM Mehedi Zaman, V Jain, A Rani, V Rawte, ...
arXiv e-prints, arXiv: 2401.01313, 2024
1 2024 SEPSIS: I Can Catch Your Lies--A New Paradigm for Deception Detection A Rani, D Dalal, S Gautam, P Gupta, V Jain, A Chadha, A Sheth, A Das
arXiv preprint arXiv:2312.00292, 2023
1 2023 FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering M Chakraborty, K Pahwa, A Rani, A Mahor, A Pakala, A Sarkar, H Dave, ...
EMNLP 2023 Main Conference, 2023
1 2023 Overview of Factify5WQA: Fact Verification through 5W Question-Answering S Suresh, A Rani, P Patwa, A Reganti, V Jain, A Chadha, A Das, A Sheth, ...
arXiv preprint arXiv:2410.04236, 2024
2024 Counter Turing Test ( I Kavathekar, A Rani, A Chamoli, P Kumaraguru, A Sheth, A Das
EMNLP 2024 Findings, 2024
2024 
Dr. Amitava DasAI Institute of University of South Carolina (AIISC) + Wipro AI + IIT PatnaDirección de correo verificada de mailbox.sc.edu
