Murugesan, Keerthiram

Understanding the Capabilities of Large Language Models for Automated Planning

Pallagani, V., Muppasani, B., Murugesan, K., Rossi, F., Srivastava, B., Horesh, L., Fabiano, F., & Loreggia, A. (2023) · arXiv

AI-based Problem Solving and PlanningNatural Language Processing Techniques

Cited by 50

MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation

Zhang, Z., Wang, Z., Ma, T., Taneja, V. S., Nelson, S., Le, N. H. L., Murugesan, K., Ju, M., Chawla, N. V., Zhang, C., et al. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1

Recommender Systems and TechniquesInnovation in Digital Healthcare Systems

Cited by 16

Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions

Do, H. J., Ostrand, R., Weisz, J. D., Dugan, C., Sattigeri, P., Wei, D., Murugesan, K., & Geyer, W. (2024) · arXiv

Human-Automation Interaction and SafetyExplainable Artificial Intelligence (XAI)

Cited by 12

NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning

Zhang, Z., Li, Y., Le, N. H. L., Wang, Z., Ma, T., Galassi, V., Murugesan, K., Moniz, N., Geyer, W., Chawla, N. V., et al. (2024) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 2