Kudugunta, Sneha

PaLM 2 Technical Report

Anil, R., Dai, A. M., Firat, O., Johnson, M., Lepikhin, D., Passos, A., Shakeri, S., Taropa, E., Bailey, P., Chen, Z., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 834

Deep neural networks for bot detection

Kudugunta, S., & Ferrara, E. (2018) · Information Sciences

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 506

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Kreutzer, J., Caswell, I., Wang, L., Wahab, A., van Esch, D., Ulzii-Orshikh, N., Tapo, A., Subramani, N., Sokolov, A., Sikasote, C., et al. (2021) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 179

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Kreutzer, J., Caswell, I., Wang, L., Wahab, A., van Esch, D., Ulzii-Orshikh, N., Tapo, A., Subramani, N., Sokolov, A., Sikasote, C., et al. (2022) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesTopic Modeling

Cited by 179

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Comanici, G., Bieber, E., Schaekermann, M., Pasupat, I., Sachdeva, N., Dhillon, I., Blistein, M., Ram, O., Zhang, D., Rosen, E., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 69

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Asai, A., Kudugunta, S., Yu, X. V., Blevins, T., Gonen, H., Reid, M., Tsvetkov, Y., Ruder, S., & Hajishirzi, H. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 10