Parameswaran, Aditya

Why Do Multi-Agent LLM Systems Fail?

Cemri, M., Pan, M. Z., Yang, S., Agrawal, L. A., Chopra, B., Tiwari, R., Keutzer, K., Parameswaran, A., Klein, D., Ramchandran, K., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 630

Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Shankar, S., Zamfirescu-Pereira, J. D., Hartmann, B., Parameswaran, A., & Arawjo, I. (2024) · Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology

Natural Language Processing TechniquesSoftware Engineering Research

Cited by 151

Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows

Xin, D., Wu, E. Y., Lee, D. J.-L., Salehi, N., & Parameswaran, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Machine Learning and Data ClassificationSoftware Engineering Techniques and Practices

Cited by 110

SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines

Shankar, S., Li, H., Asawa, P., Hulsebos, M., Lin, Y., Zamfirescu-Pereira, J. D., Chase, H., Fu-Hinthorn, W., Parameswaran, A. G., & Wu, E. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 27

Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First

Liu, S., Ponnapalli, S., Shankar, S., Zeighami, S., Zhu, A., Agarwal, S., Chen, R., Suwito, S., Yuan, S., Stoica, I., et al. (2025) · arXiv

Advanced Database Systems and QueriesScientific Computing and Data Management

Cited by 2