Wexler, James

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Kim, B., Wattenberg, M., Gilmer, J., Cai, C., Wexler, J., Viegas, F., & Sayres, R. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 1,240

Towards Automatic Concept-based Explanations

Ghorbani, A., Wexler, J., Zou, J., & Kim, B. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 378

The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models

Tenney, I., Wexler, J., Bastings, J., Bolukbasi, T., Coenen, A., Gehrmann, S., Jiang, E., Pushkarna, M., Radebaugh, C., Reif, E., et al. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Explainable Artificial Intelligence (XAI)Natural Language Processing Techniques

Cited by 138

LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models

Kahng, M., Tenney, I., Pushkarna, M., Liu, M. X., Wexler, J., Reif, E., Kallarackal, K., Chang, M., Terry, M., & Dixon, L. (2024) · arXiv

Data Visualization and AnalyticsExplainable Artificial Intelligence (XAI)

Cited by 34

ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles

Petridis, S., Wedin, B. D., Wexler, J., Pushkarna, M., Donsbach, A., Goyal, N., Cai, C. J., & Terry, M. (2024) · Proceedings of the 29th International Conference on Intelligent User Interfaces

Speech and dialogue systemsUsability and User Interface Design

Cited by 31

ClinicalVis: Supporting Clinical Task-Focused Design Evaluation

Ghassemi, M., Pushkarna, M., Wexler, J., Johnson, J., & Varghese, P. (2018) · arXiv

Electronic Health Records SystemsData Visualization and Analytics

Cited by 26