Michael Hassid

22 papers A* 4A 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CWM: An Open-Weights LLM for Research on Code Generation with World Models. CoRR 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
2025	J	`jnl`	Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning. CoRR Michael Hassid, Gabriel Synnaeve, Yossi Adi, Roy Schwartz
2025	—	`conf`	More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG. EMNLP (Findings) Shahar Levy, Nir Mazor, Lihi Shalmon, Michael Hassid, Gabriel Stanovsky
2025	J	`jnl`	More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG. CoRR Shahar Levy, Nir Mazor, Lihi Shalmon, Michael Hassid, Gabriel Stanovsky
2025	A*	`conf`	On Pruning State-Space LLMs. EMNLP Tamer Ghattas, Michael Hassid, Roy Schwartz
2025	J	`jnl`	On Pruning State-Space LLMs. CoRR Tamer Ghattas, Michael Hassid, Roy Schwartz
2025	J	`jnl`	Scaling Analysis of Interleaved Speech-Text Language Models. CoRR Gallil Maimon, Michael Hassid, Amit Roth, Yossi Adi
2024	J	`jnl`	The Larger the Better? Improved LLM Code-Generation via Budget Reallocation. CoRR Michael Hassid, Tal Remez, Jonas Gehring, Roy Schwartz, Yossi Adi
2024	A*	`conf`	Transformers are Multi-State RNNs. EMNLP Matanel Oren, Michael Hassid, Yarden Nir, Yossi Adi, Roy Schwartz
2024	J	`jnl`	Transformers are Multi-State RNNs. CoRR Matanel Oren, Michael Hassid, Yossi Adi, Roy Schwartz
2023	J	`jnl`	EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. CoRR 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
2023	J	`jnl`	Efficient Methods for Natural Language Processing: A Survey. Trans. Assoc. Comput. Linguistics 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
2023	A	`conf`	Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis. INTERSPEECH 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
2023	—	`conf`	Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. ACL (1) Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
2023	J	`jnl`	Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. CoRR Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz
2023	A*	`conf`	Textually Pretrained Speech Language Models. NeurIPS 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
2023	J	`jnl`	Textually Pretrained Speech Language Models. CoRR 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
2022	J	`jnl`	Efficient Methods for Natural Language Processing: A Survey. CoRR 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
2022	—	`conf`	How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. EMNLP (Findings) Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
2022	J	`jnl`	How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. CoRR Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
2022	A*	`conf`	More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. CVPR Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez
2021	J	`jnl`	More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. CoRR Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez