Chadha, Aman

A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Sahoo, P., Singh, A. K., Saha, S., Jain, V., Mondal, S., & Chadha, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 288

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Tonmoy, S. M. T. I., Zaman, S. M. M., Jain, V., Rani, A., Rawte, V., Chadha, A., & Das, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 129

The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations

Rawte, V., Chakraborty, S., Pathak, A., Sarkar, A., Tonmoy, S. M. T. I., Chadha, A., Sheth, A., & Das, A. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 119

Cause and Effect: Can Large Language Models Truly Understand Causality?

Ashwani, S., Hegde, K., Reddy Mannuru, N., Singh Sengar, D., Jindal, M., Chaitanya Rao Kathala, K., Banga, D., Jain, V., & Chadha, A. (2024) · Proceedings of the AAAI Symposium Series

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 18

Developing a Framework for Auditing Large Language Models using Human-in-the-loop

Amirizaniani, M., Lavergne, A., Snell Okada, E., Chadha, A., Roosta, T., & Shah, C. (2025) · Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region

Topic ModelingEthics and Social Impacts of AI

Cited by 16

The Evolution of Mixture of Experts: A Survey from Basics to Breakthroughs

Vats, A., Raja, R., Jain, V., & Chadha, A. (2024) · Preprints.org

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 10

Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?

Sinha, N., Jain, V., & Chadha, A. (2025) · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)

Topic ModelingNatural Language Processing Techniques

Cited by 9

Energy-Based Transformers are Scalable Learners and Thinkers

Gladstone, A., Nanduru, G., Islam, M. M., Han, P., Ha, H., Chadha, A., Du, Y., Ji, H., Li, J., & Iqbal, T. (2025) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 1

SAHOO: Safeguarded Alignment for High-Order Optimization Objectives in Recursive Self-Improvement

Sahoo, S., Chadha, A., Jain, V., & Chaudhary, D. (2026) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 0