Parameter Efficient Fine Tuning (PEFT): A Comprehensive Analysis Across Applications CCS Balne, S Bhaduri, T Roy, V Jain, A Chadha arXiv preprint arXiv:2404.13506, 2024 | | 2024 |
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement P Sheth, T Kumarage, R Moraffah, A Chadha, H Liu arXiv preprint arXiv:2404.11036, 2024 | | 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 | | 2024 |
FACTOID: FACtual enTailment fOr hallucInation Detection V Rawte, SM Tonmoy, K Rajbangshi, S Nag, A Chadha, AP Sheth, A Das arXiv preprint arXiv:2403.19113, 2024 | | 2024 |
"Sorry, Come Again?" Prompting--Enhancing Comprehension and Diminishing Hallucination with [PAUSE]-injected Optimal Paraphrasing V Rawte, SM Tonmoy, SM Zaman, P Priya, A Chadha, AP Sheth, A Das arXiv preprint arXiv:2403.18976, 2024 | | 2024 |
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs PPS Dammu, H Naidu, M Dewan, YM Kim, T Roosta, A Chadha, C Shah arXiv preprint arXiv:2403.09724, 2024 | | 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 | | 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 | | 2024 |
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 arXiv preprint arXiv:2403.02246, 2024 | | 2024 |
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization T Kumarage, G Agrawal, P Sheth, R Moraffah, A Chadha, J Garland, H Liu arXiv preprint arXiv:2403.01152, 2024 | 1 | 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 | | 2024 |
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 | | 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 | 1 | 2024 |
Born With a Silver Spoon? Investigating Socioeconomic Bias in Large Language Models S Singh, S Keshari, V Jain, A Chadha arXiv preprint arXiv:2403.14633, 2024 | | 2024 |
Developing a Framework for Auditing Large Language Models Using Human-in-the-Loop M Amirizaniani, J Yao, A Lavergne, ES Okada, A Chadha, T Roosta, ... arXiv preprint arXiv:2402.09346, 2024 | | 2024 |
AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach M Amirizaniani, T Roosta, A Chadha, C Shah arXiv preprint arXiv:2402.09334, 2024 | | 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 | 2 | 2024 |
Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation S Chopra, S Kothawade, H Aynaou, A Chadha arXiv preprint arXiv:2402.04929, 2024 | 1 | 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 | 10 | 2024 |
Gaussian Adaptive Attention is All You Need: Robust Contextual Representations Across Multiple Modalities G Ioannides, A Chadha, A Elkins arXiv preprint arXiv:2401.11143, 2024 | | 2024 |