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 (CVPR, 2022)

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. - Michael Hassid; Hao Peng 009; Daniel Rotem; Jungo Kasai; Ivan Montero; Noah A. Smith; Roy Schwartz 001 (EMNLP (Findings), 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; et al. (CoRR, 2022)

Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings. - Daniel Rotem; Michael Hassid; Jonathan Mamou; Roy Schwartz 001 (ACL (1), 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; et al. (INTERSPEECH, 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 001; Yossi Adi (NeurIPS, 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; et al. (Trans. Assoc. Comput. Linguistics, 2023)

Transformers are Multi-State RNNs. - Matanel Oren; Michael Hassid; Yarden Nir; Yossi Adi; Roy Schwartz 001 (EMNLP, 2024)

Transformers are Multi-State RNNs. - Matanel Oren; Michael Hassid; Yossi Adi; Roy Schwartz 001 (CoRR, 2024)

The Larger the Better? Improved LLM Code-Generation via Budget Reallocation. - Michael Hassid; Tal Remez; Jonas Gehring; Roy Schwartz 001; Yossi Adi (CoRR, 2024)

On Pruning State-Space LLMs. - Tamer Ghattas; Michael Hassid; Roy Schwartz 001 (CoRR, 2025)

More Documents, Same Length: Isolating the Challenge of Multiple Documents in RAG. - Shahar Levy; Nir Mazor; Lihi Shalmon; Michael Hassid; Gabriel Stanovsky (CoRR, 2025)

Scaling Analysis of Interleaved Speech-Text Language Models. - Gallil Maimon; Michael Hassid; Amit Roth; Yossi Adi (CoRR, 2025)

Don't Overthink it. Preferring Shorter Thinking Chains for Improved LLM Reasoning. - Michael Hassid; Gabriel Synnaeve; Yossi Adi; Roy Schwartz 001 (CoRR, 2025)