| 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 | 293 | 2024 |
| 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 | 237 | 2024 |
| 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 | 23 | 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 | 23 | 2023 |
| 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 | 19 | 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 | 17 | 2024 |
| Cause and Effect: Can Large Language Models Truly Understand Causality? S Ashwani, K Hegde, NR Mannuru, M Jindal, DS Sengar, KCR Kathala, ... AAAI 2025 Symposium on AI Trustworthiness and Risk Assessment for Challenged …, 2024 | 16 | 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 | 16 | 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 | 8 | 2024 |
| How Culturally Aware are Vision-Language Models? O Burda-Lassen, A Chadha, S Goswami, V Jain arXiv preprint arXiv:2405.17475, 2024 | 6 | 2024 |
| Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation S Lakhanpal, S Chopra, V Jain, A Chadha, M Luo WACV 2025, 2024 | 5 | 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, 2024 | 5 | 2024 |
| iReason: Multimodal Commonsense Reasoning using Videos and Natural Language with Interpretability A Chadha, V Jain arXiv preprint arXiv:2107.10300, 2021 | 5 | 2021 |
| PHAnToM: Personality Has An Effect on Theory-of-Mind Reasoning in Large Language Models FA Tan, GC Yeo, F Wu, W Xu, V Jain, A Chadha, K Jaidka, Y Liu, SK Ng IC2S2 2024, 2024 | 4 | 2024 |
| Basics of process control in textile manufacturing V Jain Process Control in Textile Manufacturing, 3-13, 2013 | 4 | 2013 |
| Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey P Sahoo, P Meharia, A Ghosh, S Saha, V Jain, A Chadha EMNLP 2024 Findings, 2024 | 3* | 2024 |
| Investigating Annotator Bias in Large Language Models for Hate Speech Detection A Das, Z Zhang, F Jamshidi, V Jain, A Chadha, N Raychawdhary, ... NeurIPS 2024 Safe Generative AI Workshop, 2024 | 3 | 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 | 3 | 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 | 2 | 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 | 2 | 2024 |
Aman ChadhaGenAI Leadership @ AWS • Stanford AI • UW-Madison ECE • Ex: Apple, Alexa, Nvidia, QualcommVerified email at amazon.com
