James Wexler

Orcid: 0009-0006-8105-6998

According to our database¹, James Wexler authored at least 22 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2025

LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., January, 2025

2024

The Evolution of LLM Adoption in Industry Data Curation Practices.

[BibT_eX]

[DOI]

CoRR, 2024

Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration.

[BibT_eX]

[DOI]

Crystal Qian

James Wexler

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Automatic Histograms: Leveraging Language Models for Text Dataset Exploration.

[BibT_eX]

[DOI]

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

ConstitutionalExperts: Training a Mixture of Principle-based Prompts.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

From Discovery to Adoption: Understanding the ML Practitioners' Interpretability Journey.

[BibT_eX]

[DOI]

Proceedings of the 2023 ACM Designing Interactive Systems Conference, 2023

2021

Analyzing a Caching Model.

[BibT_eX]

[DOI]

CoRR, 2021

Best of both worlds: local and global explanations with human-understandable concepts.

[BibT_eX]

[DOI]

Alan Karthikesalingam

Been Kim

CoRR, 2021

2020

The What-If Tool: Interactive Probing of Machine Learning Models.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2020

Probing ML models for fairness with the what-if tool and SHAP: hands-on tutorial.

[BibT_eX]

[DOI]

Proceedings of the FAT* '20: Conference on Fairness, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

2019

The Bach Doodle: Approachable music composition with machine learning at scale.

[BibT_eX]

[DOI]

CoRR, 2019

Automating Interpretability: Discovering and Testing Visual Concepts Learned by Neural Networks.

[BibT_eX]

[DOI]

Amirata Ghorbani

James Wexler

Been Kim

CoRR, 2019

Towards Automatic Concept-based Explanations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Approachable Music Composition with Machine Learning at Scale.

[BibT_eX]

[DOI]

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

2018

Visualizing Dataflow Graphs of Deep Learning Models in TensorFlow.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2018

Scalable and accurate deep learning with electronic health records.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2018

ClinicalVis: Supporting Clinical Task-Focused Design Evaluation.

[BibT_eX]

[DOI]

CoRR, 2018

Scalable and accurate deep learning for electronic health records.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

James Wexler

Timeline

Legend:

Links

On csauthors.net:

Bibliography

Loading...