Singh, Chandan

Definitions, methods, and applications in interpretable machine learning

Murdoch, W. J., Singh, C., Kumbier, K., Abbasi-Asl, R., & Yu, B. (2019) · Proceedings of the National Academy of Sciences

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 2,167

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Augmenting interpretable models with large language models during training

Singh, C., Askari, A., Caruana, R., & Gao, J. (2023) · Nature Communications

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 63

Rethinking Interpretability in the Era of Large Language Models

Singh, C., Inala, J. P., Galley, M., Caruana, R., & Gao, J. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 50

Self-Verification Improves Few-Shot Clinical Information Extraction

Gero, Z., Singh, C., Cheng, H., Naumann, T., Galley, M., Gao, J., & Poon, H. (2023) · arXiv

Machine Learning in HealthcareTopic Modeling

Cited by 21

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries

Gero, Z., Singh, C., Xie, Y., Zhang, S., Subramanian, P., Vozila, P., Naumann, T., Gao, J., & Poon, H. (2024) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 5

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Zhang, Q., Singh, C., Liu, L., Liu, X., Yu, B., Gao, J., & Zhao, T. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0