Vinija Jain
Vinija Jain
Stanford AI | University of Maryland | Amazon | Ex: Oracle, Palo Alto Networks
Verified email at - Homepage
Cited by
Cited by
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
A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications
P Sahoo, AK Singh, S Saha, V Jain, S Mondal, A Chadha
arXiv preprint arXiv:2402.07927, 2024
Counter Turing Test (CT^2): AI-Generated Text Detection is Not as Easy as You May Think--Introducing AI Detectability Index
M Chakraborty, SM Tonmoy, SM Zaman, K Sharma, NR Barman, C Gupta, ...
EMNLP 2023 -- Outstanding Paper Award, 2023
Breaking Down the Defenses: a Comparative Survey of Attacks on Large Language Models
AG Chowdhury, MM Islam, V Kumar, FH Shezan, V Jain, A Chadha
arXiv preprint arXiv:2403.04786, 2024
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
A Vats, V Jain, R Raja, A Chadha
arXiv preprint arXiv:2402.18590, 2024
The What, Why, and How of Context Length Extension Techniques in Large Language Models--A Detailed Survey
S Pawar, SM Tonmoy, SM Zaman, V Jain, A Chadha, A Das
arXiv preprint arXiv:2401.07872, 2024
iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability
A Chadha, V Jain
Cause and Effect: Can Large Language Models Truly Understand Causality?
S Ashwani, K Hegde, NR Mannuru, M Jindal, DS Sengar, KCR Kathala, ...
arXiv preprint arXiv:2402.18139, 2024
How Culturally Aware are Vision-Language Models?
O Burda-Lassen, A Chadha, S Goswami, V Jain
arXiv preprint arXiv:2405.17475, 2024
Parameter Efficient Fine Tuning: A Comprehensive Analysis Across Applications
CCS Balne, S Bhaduri, T Roy, V Jain, A Chadha
arXiv preprint arXiv:2404.13506, 2024
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
A Ghosh, A Acharya, S Saha, V Jain, A Chadha
Elsevier Preprint, 2024
Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation
S Lakhanpal, S Chopra, V Jain, A Chadha, M Luo
arXiv preprint arXiv:2403.16422, 2024
On the Relationship between Sentence Analogy Identification and Sentence Structure Encoding in Large Language Models
T Wijesiriwardene, R Wickramarachchi, AN Reganti, V Jain, A Chadha, ...
EACL 2024 Findings, 451-457, 2024
From Prejudice to Parity: A New Approach to Debiasing Large Language Model Word Embeddings
A Rakshit, S Singh, S Keshari, AG Chowdhury, V Jain, A Chadha
arXiv preprint arXiv:2402.11512, 2024
Few-shot Multimodal Multitask Multilingual Learning
A Chadha, V Jain
arXiv preprint arXiv:2303.12489, 2023
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models
D Budagam, S KJ, A Kumar, V Jain, A Chadha
arXiv preprint arXiv:2406.12644, 2024
Investigating Annotator Bias in Large Language Models for Hate Speech Detection
A Das, Z Zhang, F Jamshidi, V Jain, A Chadha, N Raychawdhary, ...
arXiv preprint arXiv:2406.11109, 2024
Evaluating Open Language Models Across Task Types, Application Domains, and Reasoning Types: An In-Depth Experimental Analysis
N Sinha, V Jain, A Chadha
arXiv preprint arXiv:2406.11402, 2024
Decoding the Diversity: A Review of the Indic AI Research Landscape
S KJ, V Jain, S Bhaduri, T Roy, A Chadha
arXiv preprint arXiv:2406.09559, 2024
A Comprehensive Survey of Accelerated Generation Techniques in Large Language Models
M Khoshnoodi, V Jain, M Gao, M Srikanth, A Chadha
arXiv preprint arXiv:2405.13019, 2024
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