Parmar, Mihir

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Wang, Y., Mishra, S., Alipoormolabashi, P., Kordi, Y., Mirzaei, A., Naik, A., Ashok, A., Dhanasekaran, A. S., Arunkumar, A., Stap, D., et al. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 247

VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation

Miculicich, L., Parmar, M., Palangi, H., Dvijotham, K. D., Montanari, M., Pfister, T., & Le, L. T. (2025) · arXiv

Formal Methods in VerificationSafety Systems Engineering in Autonomy

Cited by 2

LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science

Salemi, A., Parmar, M., Goyal, P., Song, Y., Yoon, J., Zamani, H., Pfister, T., & Palangi, H. (2025) · arXiv

Multi-Agent Systems and NegotiationInformation Retrieval and Search Behavior

Cited by 2