Salman Rahman

According to our database, Salman Rahman authored at least 16 papers between 2017 and 2026.

Collaborative distances:

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

2026

TeamBench: Evaluating Agent Coordination under Enforced Role Separation.

Yubin Kim, Chanwoo Park, Taehan Kim, Eugene Park, Samuel Schmidgall, Salman Rahman, Chunjong Park, Cynthia Breazeal, Xin Liu, Hamid Palangi, Hae Won Park, Daniel McDuff

CoRR, May, 2026

When Can LLMs Learn to Reason with Weak Supervision?

Salman Rahman, Jingyan Shen, Anna Mordvina, Hamid Palangi, Saadia Gabriel, Pavel Izmailov

CoRR, April, 2026

CoDaS: AI Co-Data-Scientist for Biomarker Discovery via Wearable Sensors.

Yubin Kim, Salman Rahman, Samuel Schmidgall, Chunjong Park, A. Ali Heydari, Ahmed A. Metwally, Hong Yu, Xin Liu, Xuhai Xu, Yuzhe Yang, Maxwell A. Xu, Zhihan Zhang, Cynthia Breazeal, Tim Althoff, Petar Sirkovic, Ivor Rendulic, Annalisa Pawlosky, Nicolas Stroppa, Juraj Gottweis, Elahe Vedadi, Alan Karthikesalingam, Pushmeet Kohli, Vivek Natarajan, Mark Malhotra, Shwetak N. Patel, Hae Won Park, Hamid Palangi, Daniel McDuff

CoRR, April, 2026

Reward Engineering for Reinforcement Learning in Software Tasks.

Md Rayhanul Masud, Azmine Toushik Wasi, Salman Rahman, Md. Rizwan Parvez

CoRR, January, 2026

2025

SPARK: Stepwise Process-Aware Rewards for Reference-Free Reinforcement Learning.

Salman Rahman, Sruthi Gorantla, Arpit Gupta, Swastik Roy, Nanyun Peng, Yang Liu

CoRR, December, 2025

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team.

Md. Tanzib Hosain, Salman Rahman, Md. Kishor Morol, Md. Rizwan Parvez

CoRR, June, 2025

X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents.

Salman Rahman, Liwei Jiang, James Shiffer, Genglin Liu, Sheriff Issaka, Md. Rizwan Parvez, Hamid Palangi, Kai-Wei Chang, Yejin Choi, Saadia Gabriel

CoRR, April, 2025

MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations.

Genglin Liu, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel

CoRR, April, 2025

AI Debate Aids Assessment of Controversial Claims.

Salman Rahman, Sheriff Issaka, Ashima Suvarna, Genglin Liu, James Shiffer, Jaeyoung Lee, Md. Rizwan Parvez, Hamid Palangi, Shi Feng, Nanyun Peng, Yejin Choi, Julian Michael, Liwei Jiang, Saadia Gabriel

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations.

Genglin Liu, Vivian T. Le, Salman Rahman, Elisa Kreiss, Marzyeh Ghassemi, Saadia Gabriel

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Generalization in Healthcare AI: Evaluation of a Clinical Large Language Model.

Salman Rahman, Lavender Yao Jiang, Saadia Gabriel, Yindalon Aphinyanaphongs, Eric Karl Oermann, Rumi Chunara

CoRR, 2024

Impact on Public Health Decision Making by Utilizing Big Data Without Domain Knowledge.

Miao Zhang, Salman Rahman, Vishwali Mhasawade, Rumi Chunara

CoRR, 2024

Understanding Disparities in Post Hoc Machine Learning Explanation.

Vishwali Mhasawade, Salman Rahman, Zoé Haskell-Craig, Rumi Chunara

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2017

Just Formal Enough? Automated Analysis of EARS Requirements.

Levi Lúcio, Salman Rahman, Chih-Hong Cheng, Alistair Mavin

Proceedings of the NASA Formal Methods - 9th International Symposium, 2017

EARS-CTRL: Generating Controllers for Dummies.

Levi Lúcio, Salman Rahman, Saad bin Abid, Alistair Mavin

Proceedings of MODELS 2017 Satellite Event: Workshops (ModComp, 2017

Process-Aware Model-driven Development Environments.

Levi Lúcio, Saad bin Abid, Salman Rahman, Vincent Aravantinos, Ralf Kuestner, Eduard Harwardt

Proceedings of MODELS 2017 Satellite Event: Workshops (ModComp, 2017