Glassman, Elena L.
Harvard University
8 papers on CoChatORCID 0000-0001-5178-3496
Most cited papers
- Verified
Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models
Vaithilingam, P., Zhang, T., & Glassman, E. L. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 660
- Verified
Proxy tasks and subjective measures can be misleading in evaluating explainable AI systems
Buçinca, Z., Lin, P., Gajos, K. Z., & Glassman, E. L. (2020) · Proceedings of the 25th International Conference on Intelligent User Interfaces
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 307
- Verified
ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing
Arawjo, I., Swoopes, C., Vaithilingam, P., Wattenberg, M., & Glassman, E. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 146
- Verified
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
- Verified
PaTAT: Human-AI Collaborative Qualitative Coding with Explainable Interactive Rule Synthesis
Gebreegziabher, S. A., Zhang, Z., Tang, X., Meng, Y., Glassman, E. L., & Li, T. J.-J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Computational and Text Analysis MethodsQualitative Research Methods and Applications
Cited by 72
- Verified
Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Ross, A., Chen, N., Hang, E. Z., Glassman, E. L., & Doshi-Velez, F. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Data Visualization and Analytics
Cited by 40
- Verified
Enabling Data-Driven API Design with Community Usage Data: A Need-Finding Study
Zhang, T., Hartmann, B., Kim, M., & Glassman, E. L. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 25
- Verified
Creative Writers' Attitudes on Writing as Training Data for Large Language Models
Gero, K. I., Desai, M., Schnitzler, C., Eom, N., Cushman, J., & Glassman, E. L. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
Ethics and Social Impacts of AILiterary and Philosophical Studies
Cited by 16
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free