Jamelle Watson-Daniels

According to our database, Jamelle Watson-Daniels authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLM Output Homogenization is Task Dependent.

Shomik Jain, Jack Lanchantin, Maximilian Nickel, Karen Ullrich, Ashia Wilson, Jamelle Watson-Daniels

CoRR, September, 2025

Representative Ranking for Deliberation in the Public Sphere.

Manon Revel, Smitha Milli, Tyler Lu, Jamelle Watson-Daniels, Maximilian Nickel

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Mysterious Projections: Multimodal LLMs Gain Domain-Specific Visual Capabilities Without Richer Cross-Modal Projections.

Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar

CoRR, 2024

Algorithmic Fairness and Color-blind Racism: Navigating the Intersection.

Jamelle Watson-Daniels

CoRR, 2024

Predictive Churn with the Set of Good Models.

Jamelle Watson-Daniels, Flávio du Pin Calmon, Alexander D'Amour, Carol Xuan Long, David C. Parkes, Berk Ustun

CoRR, 2024

Algorithmic Fairness Through the Lens of Metrics and Evaluation (AFME) 2024.

Miriam Rateike, Awa Dieng, Jamelle Watson-Daniels, Ferdinando Fioretto, Golnoosh Farnadi

Proceedings of the Workshop on Algorithmic Fairness Through the Lens of Metrics and Evaluation, 2024

Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space.

Gaurav Verma, Minje Choi, Kartik Sharma, Jamelle Watson-Daniels, Sejoon Oh, Srijan Kumar

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2023

Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints.

Jamelle Watson-Daniels, Solon Barocas, Jake M. Hofman, Alexandra Chouldechova

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Predictive Multiplicity in Probabilistic Classification.

Jamelle Watson-Daniels, David C. Parkes, Berk Ustun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023