Gupta, Prakhar

Self-Refine: Iterative Refinement with Self-Feedback

Madaan, A., Tandon, N., Gupta, P., Hallinan, S., Gao, L., Wiegreffe, S., Alon, U., Dziri, N., Prabhumoye, S., Yang, Y., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2,314

DialFact: A Benchmark for Fact-Checking in Dialogue

Gupta, P., Wu, C.-S., Liu, W., & Xiong, C. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Misinformation and Its ImpactsSpeech and dialogue systems

Cited by 48

Using In-Context Learning to Improve Dialogue Safety

Meade, N., Gella, S., Hazarika, D., Gupta, P., Jin, D., Reddy, S., Liu, Y., & Hakkani-Tur, D. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Speech and dialogue systemsHate Speech and Cyberbullying Detection

Cited by 13

SocialStories: Segmenting Stories within Trending Twitter Topics

Jaidka, K., Ramachandran, K., Gupta, P., & Rustagi, S. (2016) · Proceedings of the 3rd IKDD Conference on Data Science, 2016

Topic ModelingAdvanced Clustering Algorithms Research

Cited by 5