Naveen Raman

According to our database, Naveen Raman authored at least 19 papers between 2018 and 2026.

Collaborative distances:

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

2026

Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions.

Naveen Raman, Santiago Cortes-Gomez, Mateo Dulce-Rubio, Fei Fang, Bryan Wilder

CoRR, May, 2026

Selecting Decision-Relevant Concepts in Reinforcement Learning.

Naveen Raman, Stephanie Milani, Fei Fang

CoRR, April, 2026

Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users' Perspectives on Opportunities, Risks, and Mitigation Strategies.

Cindy Peng, Megan Chai, Gao Mo, Naveen Raman, Ningjing Tang, Shannon Pagdon, Margaret Swarbrick, Nev Jones, Fei Fang, Hong Shen

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue.

Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations.

Gao Mo, Naveen Janaki Raman, Megan Chai, Cindy Peng, Shannon Pagdon, Nev Jones, Hong Shen, Margaret Swarbrick, Fei Fang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations.

Gao Mo, Naveen Raman, Megan Chai, Cindy Peng, Shannon Pagdon, Nev Jones, Hong Shen, Peggy Swarbrick, Fei Fang

CoRR, November, 2025

Contextual Budget Bandit for Food Rescue Volunteer Engagement.

Ariana Tang, Naveen Raman, Fei Fang, Zheyuan Ryan Shi

CoRR, September, 2025

Assortment Optimization for Patient-Provider Matching.

Naveen Raman, Holly M. Wiberg

CoRR, February, 2025

Do Concept Bottleneck Models Respect Localities?

Naveen Janaki Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik

Trans. Mach. Learn. Res., 2025

Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects.

Santiago Cortes-Gomez, Naveen Janaki Raman, Aarti Singh, Bryan Wilder

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

2024

Do Concept Bottleneck Models Obey Locality?

Naveen Raman, Mateo Espinosa Zarlenga, Juyeon Heo, Mateja Jamnik

CoRR, 2024

Global Rewards in Restless Multi-Armed Bandits.

Naveen Raman, Zheyuan Shi, Fei Fang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Understanding Inter-Concept Relationships in Concept-Based Models.

Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Human Uncertainty in Concept-Based AI Systems.

Katherine Maeve Collins, Matthew Barker, Mateo Espinosa Zarlenga, Naveen Raman, Umang Bhatt, Mateja Jamnik, Ilia Sucholutsky, Adrian Weller, Krishnamurthy Dvijotham

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

2021

Improving Learning-to-Defer Algorithms Through Fine-Tuning.

Naveen Raman, Michael Yee

CoRR, 2021

Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling.

Naveen Raman, Sanket Shah, John P. Dickerson

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling.

Naveen Raman

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions.

Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, Bogdan Vasilescu

Proceedings of the ICSE-NIER 2020: 42nd International Conference on Software Engineering, New Ideas and Emerging Results, Seoul, South Korea, 27 June, 2020

2018

A Muffin-Theorem Generator.

Guangqi Cui, John P. Dickerson, Naveen Durvasula, William Gasarch, Erik Metz, Jacob Prinz, Naveen Raman, Daniel Smolyak, Sung Hyun Yoo

Proceedings of the 9th International Conference on Fun with Algorithms, 2018