Michael Hassid

According to our database, Michael Hassid authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

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

Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning.

Michael Hassid, Gabriel Synnaeve, Yossi Adi, Roy Schwartz

CoRR, May, 2025

Scaling Analysis of Interleaved Speech-Text Language Models.

Gallil Maimon, Michael Hassid, Amit Roth, Yossi Adi

CoRR, April, 2025

More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG.

Shahar Levy, Nir Mazor, Lihi Shalmon, Michael Hassid, Gabriel Stanovsky

CoRR, March, 2025

On Pruning State-Space LLMs.

Tamer Ghattas, Michael Hassid, Roy Schwartz

CoRR, February, 2025

2024

The Larger the Better? Improved LLM Code-Generation via Budget Reallocation.

Michael Hassid, Tal Remez, Jonas Gehring, Roy Schwartz, Yossi Adi

CoRR, 2024

Transformers are Multi-State RNNs.

Matanel Oren, Michael Hassid, Yossi Adi, Roy Schwartz

CoRR, 2024

Transformers are Multi-State RNNs.

Matanel Oren, Michael Hassid, Yarden Nir, Yossi Adi, Roy Schwartz

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Efficient Methods for Natural Language Processing: A Survey.

Marcos V. Treviso, Ji-Ung Lee, Tianchu Ji, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Colin Raffel, Pedro Henrique Martins, André F. T. Martins, Jessica Zosa Forde, Peter A. Milder, Edwin Simpson, Noam Slonim, Jesse Dodge, Emma Strubell, Niranjan Balasubramanian, Leon Derczynski, Iryna Gurevych, Roy Schwartz

Trans. Assoc. Comput. Linguistics, 2023

Textually Pretrained Speech Language Models.

Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis.

Tu Anh Nguyen, Wei-Ning Hsu, Antony D'Avirro, Bowen Shi, Itai Gat, Maryam Fazel-Zarandi, Tal Remez, Jade Copet, Gabriel Synnaeve, Michael Hassid, Felix Kreuk, Yossi Adi, Emmanuel Dupoux

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings.

Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Efficient Methods for Natural Language Processing: A Survey.

Marcos V. Treviso, Tianchu Ji, Ji-Ung Lee, Betty van Aken, Qingqing Cao, Manuel R. Ciosici, Michael Hassid, Kenneth Heafield, Sara Hooker, Pedro Henrique Martins, André F. T. Martins, Peter A. Milder, Colin Raffel, Edwin Simpson, Noam Slonim, Niranjan Balasubramanian, Leon Derczynski, Roy Schwartz

CoRR, 2022

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers.

Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech.

Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022