Aram H. Markosyan

According to our database, Aram H. Markosyan authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

ProofOptimizer: Training Language Models to Simplify Proofs without Human Demonstrations.

Alex Gu, Bartosz Piotrowski, Fabian Gloeckle, Kaiyu Yang, Aram H. Markosyan

CoRR, October, 2025

Continual Learning via Sparse Memory Finetuning.

Jessy Lin, Luke Zettlemoyer, Gargi Ghosh, Wen-Tau Yih, Aram H. Markosyan, Vincent-Pierre Berges, Barlas Oguz

CoRR, October, 2025

CWM: An Open-Weights LLM for Research on Code Generation with World Models.

FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram H. Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter W. O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve

CoRR, October, 2025

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces.

Jordi Armengol-Estapé, Quentin Carbonneaux, Tianjun Zhang, Aram H. Markosyan, Volker Seeker, Chris Cummins, Melanie Kambadur, Michael F. P. O'Boyle, Sida I. Wang, Gabriel Synnaeve, Hugh James Leather

CoRR, March, 2025

With Great Backbones Comes Great Adversarial Transferability.

Erik Arakelyan, Karen Hambardzumyan, Davit Papikyan, Pasquale Minervini, Albert Gordo, Isabelle Augenstein, Aram H. Markosyan

CoRR, January, 2025

Detecting Prefix Bias in LLM-based Reward Models.

Ashwin Kumar, Yuzi He, Aram H. Markosyan, Bobbie Chern, Imanol Arrieta Ibarra

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

LLMs: A Driving Force in Next Generation Digital Design Automation.

Matheus T. Moreira, Aram H. Markosyan, Chris Cummins, Warren Hunt, Gabriel Synnaeve, Edith Beigné

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

Don't Transform the Code, Code the Transforms: Towards Precise Code Rewriting using LLMs.

Chris Cummins, Volker Seeker, Jordi Armengol-Estapé, Aram H. Markosyan, Gabriel Synnaeve, Hugh Leather

CoRR, 2024

Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts.

Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob N. Foerster, Tim Rocktäschel, Roberta Raileanu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Using Captum to Explain Generative Language Models.

Vivek Miglani, Oliver Aobo Yang, Aram H. Markosyan, Diego Garcia-Olano, Narine Kokhlikyan

CoRR, 2023

Identifying and Disentangling Spurious Features in Pretrained Image Representations.

Rafayel Darbinyan, Hrayr Harutyunyan, Aram H. Markosyan, Hrant Khachatrian

CoRR, 2023

2022

Tell Your Story: Task-Oriented Dialogs for Interactive Content Creation.

Satwik Kottur, Seungwhan Moon, Aram H. Markosyan, Hardik Shah, Babak Damavandi, Alborz Geramifard

CoRR, 2022

Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models.

Kushal Tirumala, Aram H. Markosyan, Luke Zettlemoyer, Armen Aghajanyan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022