Ameen Patel

According to our database, Ameen Patel authored at least 7 papers between 2021 and 2026.

Collaborative distances:

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

2026

Why Do Safety Guardrails Degrade Across Languages?

Max Zhang, Ameen Patel, Sang T. Truong, Sanmi Koyejo

CoRR, May, 2026

Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks.

Benjamin Warner, Ratna Sagari Grandhi, Max Kieffer, Aymane Ouraq, Saurav Panigrahi, Geetu Ambwani, Kunal Bagga, Nikhil Khandekar, Arya Hariharan, Nishant Mishra, Manish Ram, Shamus Sim Zi Yang, Ahmed Essouaied, Adepoju Jeremiah Moyondafoluwa, Robert Scholz, Bofeng Huang, Molly Beavers, Srishti Gureja, Anish Mahishi, Sameed Khan, Maxime Griot, Hunar Batra, Jean-Benoit Delbrouck, Siddhant Bharadwaj, Ronald Clark, Ashish Vashist, Anas Zafar, Leema Krishna Murali, Harsh Deshpande, Ameen Patel, William Brown, Johannes Hagemann, Connor Lane, Paul S. Scotti, Tanishq Mathew Abraham

CoRR, May, 2026

The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior.

Ameen Patel, Felix Lee, Kyle Liang, Joseph Thomas

CoRR, April, 2026

2025

INTELLECT-3: Technical Report.

Prime Intellect Team, Mika Senghaas, Fares Obeid, Sami Jaghouar, William Brown, Jack Min Ong, Daniel Auras, Matej Sirovatka, Jannik Straube, Andrew Baker, Sebastian Müller, Justus Mattern, Manveer Basra, Aiman Ismail, Dominik Scherm, Cooper Miller, Ameen Patel, Simon Kirsten, Mario Sieg, Christian Reetz, Kemal Erdem, Vincent Weisser, Johannes Hagemann

CoRR, December, 2025

Beat the long tail: Distribution-Aware Speculative Decoding for RL Training.

Zelei Shao, Vikranth Srivatsa, Sanjana Srivastava, Qingyang Wu, Alpay Ariyak, Xiaoxia Wu, Ameen Patel, Jue Wang, Percy Liang, Tri Dao, Ce Zhang, Yiying Zhang, Ben Athiwaratkun, Chenfeng Xu, Junxiong Wang

CoRR, November, 2025

2023

Graph-Guided Reasoning for Multi-Hop Question Answering in Large Language Models.

Jinyoung Park, Ameen Patel, Omar Zia Khan, Hyunwoo J. Kim, Joo-Kyung Kim

CoRR, 2023

2021

A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems.

Sunghyun Park, Han Li, Ameen Patel, Sidharth Mudgal, Sungjin Lee, Young-Bum Kim, Spyros Matsoukas, Ruhi Sarikaya

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021