Sadegh Mahdavi

According to our database, Sadegh Mahdavi authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Learning Generative Selection for Best-of-N.

Shubham Toshniwal, Aleksander Ficek, Siddhartha Jain, Wei Du, Vahid Noroozi, Sadegh Mahdavi, Somshubra Majumdar, Igor Gitman

CoRR, February, 2026

Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy Gradients.

Christos Thrampoulidis, Sadegh Mahdavi, Wenlong Deng

Trans. Mach. Learn. Res., 2026

2025

Nemotron-Math: Efficient Long-Context Distillation of Mathematical Reasoning from Multi-Mode Supervision.

Wei Du, Shubham Toshniwal, Branislav Kisacanin, Sadegh Mahdavi, Ivan Moshkov, George Armstrong, Stephen Ge, Edgar Minasyan, Feng Chen, Igor Gitman

CoRR, December, 2025

Scaling Generative Verifiers For Natural Language Mathematical Proof Verification And Selection.

Sadegh Mahdavi, Branislav Kisacanin, Shubham Toshniwal, Wei Du, Ivan Moshkov, George Armstrong, Renjie Liao, Christos Thrampoulidis, Igor Gitman

CoRR, November, 2025

The Challenge of Teaching Reasoning to LLMs Without RL or Distillation.

Wei Du, Branislav Kisacanin, George Armstrong, Shubham Toshniwal, Ivan Moshkov, Alexan Ayrapetyan, Sadegh Mahdavi, Dan Zhao, Shizhe Diao, Dragan Masulovic, Marius Stanean, Advaith Avadhanam, Max Wang, Ashmit Dutta, Shitij Govil, Sri Yanamandara, Mihir Tandon, Sriram Ananthakrishnan, Vedant Rathi, David Zhang, Joonseok Kang, Leon Luo, Titu Andreescu, Boris Ginsburg, Igor Gitman

CoRR, July, 2025

Leveraging Online Olympiad-Level Math Problems for LLMs Training and Contamination-Resistant Evaluation.

Sadegh Mahdavi, Muchen Li, Kaiwen Liu, Christos Thrampoulidis, Leonid Sigal, Renjie Liao

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

2024

From Graph Diffusion to Graph Classification.

Jia Jun Cheng Xian, Sadegh Mahdavi, Renjie Liao, Oliver Schulte

CoRR, 2024

Leveraging Environment Interaction for Automated PDDL Generation and Planning with Large Language Models.

Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao

CoRR, 2024

Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models.

Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao

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

Memorization Capacity of Multi-Head Attention in Transformers.

Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Revisiting the Equivalence of In-Context Learning and Gradient Descent: The Impact of Data Distribution.

Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks.

Sadegh Mahdavi, Kevin Swersky, Thomas Kipf, Milad Hashemi, Christos Thrampoulidis, Renjie Liao

Trans. Mach. Learn. Res., 2023