Singh, Nikhil

A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level

Drori, I., Zhang, S., Shuttleworth, R., Tang, L., Lu, A., Ke, E., Liu, K., Chen, L., Tran, S., Cheng, N., et al. (2022) · Proceedings of the National Academy of Sciences

Topic ModelingArtificial Intelligence in Education

Cited by 187

Where to Hide a Stolen Elephant: Leaps in Creative Writing with Multimodal Machine Intelligence

Singh, N., Bernal, G., Savchenko, D., & Glassman, E. L. (2023) · ACM Transactions on Computer-Human Interaction

Innovative Human-Technology InteractionDigital Media and Visual Art

Cited by 119

Human detection of political speech deepfakes across transcripts, audio, and video

Groh, M., Sankaranarayanan, A., Singh, N., Kim, D. Y., Lippman, A., & Picard, R. (2024) · Nature Communications

Misinformation and Its ImpactsDigital Media Forensic Detection

Cited by 89

FigurA11y: AI Assistance for Writing Scientific Alt Text

Singh, N., Wang, L. L., & Bragg, J. (2024) · Proceedings of the 29th International Conference on Intelligent User Interfaces

Digital Accessibility for DisabilitiesData Visualization and Analytics

Cited by 42

Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models

Zhang, S. J., Florin, S., Lee, A. N., Niknafs, E., Marginean, A., Wang, A., Tyser, K., Chin, Z., Hicke, Y., Singh, N., et al. (2023) · arXiv

Artificial Intelligence in EducationTopic Modeling

Cited by 19

Reinforcement World Model Learning for LLM-based Agents

Yu, X., Peng, B., Xu, R., Shen, Y., He, P., Nath, S., Singh, N., Gao, J., & Yu, Z. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 1

A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experiments

Cherep, M., Ma, C., Xu, A., Shaked, M., Maes, P., & Singh, N. (2025) · arXiv

Decision-Making and Behavioral EconomicsAI in Service Interactions

Cited by 0