Chakraborty, Tanmoy

Factuality challenges in the era of large language models and opportunities for fact-checking

Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., et al. (2024) · Nature Machine Intelligence

Misinformation and Its ImpactsTopic Modeling

Cited by 187

POSIX: A Prompt Sensitivity Index For Large Language Models

Chatterjee, A., Renduchintala, H. S. V. N. S. K., Bhatia, S., & Chakraborty, T. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024

Topic ModelingNatural Language Processing Techniques

Cited by 34

Factuality Challenges in the Era of Large Language Models

Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., et al. (2023) · arXiv

Misinformation and Its ImpactsEthics and Social Impacts of AI

Cited by 32

Hatemongers ride on echo chambers to escalate hate speech diffusion

Goel, V., Sahnan, D., Dutta, S., Bandhakavi, A., & Chakraborty, T. (2023) · PNAS Nexus

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 25

How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning

Dutta, S., Singh, J., Chakrabarti, S., & Chakraborty, T. (2024) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 0