James Wexler

Computer Science · Physical Sciences

13h-index2.5kcitations31works6.32yr avg
OpenAlex↗ORCID↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Topic Modeling(10), Explainable Artificial Intelligence (XAI)(10), Natural Language Processing Techniques(4), Ethics and Social Impacts of AI(4), Software Engineering Research(3)

Publications30 total

Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation
ArXiv.org·2026Open Access
Choose Your Agent: Tradeoffs in Adopting AI Advisors, Coaches, and Delegates in Multi-Party Negotiation
arXiv (Cornell University)·2026Open Access
Strategic Tradeoffs Between Humans and AI in Multi-Agent Bargaining
arXiv (Cornell University)·2025Open Access
LLM Adoption in Data Curation Workflows: Industry Practices and Insights
2025
The Evolution of LLM Adoption in Industry Data Curation Practices
arXiv (Cornell University)·2024· 2 citedOpen Access
LLM Comparator: Interactive Analysis of Side-by-Side Evaluation of Large Language Models
IEEE Transactions on Visualization and Computer Graphics·2024· 19 citedOpen Access
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
2024· 9 citedOpen Access
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
2024· 25 citedOpen Access
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles
2024· 17 citedOpen Access
Take It, Leave It, or Fix It: Measuring Productivity and Trust in Human-AI Collaboration
2024· 11 citedOpen Access
ConstitutionalExperts: Training a Mixture of Principle-based Prompts
arXiv (Cornell University)·2024Open Access
Automatic Histograms: Leveraging Language Models for Text Dataset Exploration
arXiv (Cornell University)·2024Open Access
LLM Comparator: Visual Analytics for Side-by-Side Evaluation of Large Language Models
arXiv (Cornell University)·2024· 2 citedOpen Access
ConstitutionalExperts: Training a Mixture of Principle-based Prompts
2024· 3 citedOpen Access
ConstitutionMaker: Interactively Critiquing Large Language Models by Converting Feedback into Principles
arXiv (Cornell University)·2023· 2 citedOpen Access
From Discovery to Adoption: Understanding the ML Practitioners’ Interpretability Journey
2023· 5 citedOpen Access
Analyzing a Caching Model
arXiv (Cornell University)·2021Open Access
Best of both worlds: local and global explanations with human-understandable concepts
arXiv (Cornell University)·2021· 14 citedOpen Access
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
arXiv (Cornell University)·2020· 13 citedOpen Access
Probing ML models for fairness with the what-if tool and SHAP
2020· 7 cited
page 1 of 2Next →

Frequent Co-authors

Mahima Pushkarna(11), Emily Reif(9), Crystal Qian(9), Minsuk Kahng(7), Carrie J. Cai(6), Ian Tenney(6), Been Kim(5), Michael Xieyang Liu(5), Michael Terry(5), Martin Wattenberg(4), Fernanda Viégas(4), Tolga Bolukbasi(4), Ann Yuan(4), Savvas Petridis(4), Krystal Kallarackal(3), Minsuk Chang(3), Lucas Dixon(3), Ben Wedin(3), Nithum Thain(3), Justin Gilmer(2)