Bhattacharjee, Amrita

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge

Li, D., Jiang, B., Huang, L., Beigi, A., Zhao, C., Tan, Z., Bhattacharjee, A., Jiang, Y., Chen, C., Wu, T., et al. (2024) · arXiv

Artificial Intelligence in LawTopic Modeling

Cited by 271

Combating disinformation in a social media age

Shu, K., Bhattacharjee, A., Alatawi, F., Nazer, T. H., Ding, K., Karami, M., & Liu, H. (2020) · WIREs Data Mining and Knowledge Discovery

Misinformation and Its ImpactsSpam and Phishing Detection

Cited by 198

Large Language Models for Data Annotation and Synthesis: A Survey

Tan, Z., Li, D., Wang, S., Beigi, A., Jiang, B., Bhattacharjee, A., Karami, M., Li, J., Cheng, L., & Liu, H. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 178

Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?

Bhattacharjee, A., & Liu, H. (2024) · ACM SIGKDD Explorations Newsletter

Authorship Attribution and ProfilingTopic Modeling

Cited by 65

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection

Bhattacharjee, A., Kumarage, T., Moraffah, R., & Liu, H. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Authorship Attribution and ProfilingTopic Modeling

Cited by 43

Stylometric Detection of AI-Generated Text in Twitter Timelines

Kumarage, T., Garland, J., Bhattacharjee, A., Trapeznikov, K., Ruston, S., & Liu, H. (2023) · arXiv

Authorship Attribution and ProfilingMisinformation and Its Impacts

Cited by 25

Text Transformations in Contrastive Self-Supervised Learning: A Review

Bhattacharjee, A., Karami, M., & Liu, H. (2022) · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 20

Defending Against Social Engineering Attacks in the Age of LLMs

Ai, L., Kumarage, T. S., Bhattacharjee, A., Liu, Z., Hui, Z., Davinroy, M. S., Cook, J., Cassani, L., Trapeznikov, K., Kirchner, M., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningSpam and Phishing Detection

Cited by 17

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection

Bhattacharjee, A., Kumarage, T., Moraffah, R., & Liu, H. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 3