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Roy Schwartz

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What Can Natural Language Processing Do for Peer Review?

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May 10, 2024
Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych

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Accelerating Speculative Decoding using Dynamic Speculation Length

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May 07, 2024
Jonathan Mamou, Oren Pereg, Daniel Korat, Moshe Berchansky, Nadav Timor, Moshe Wasserblat, Roy Schwartz

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Beyond Performance: Quantifying and Mitigating Label Bias in LLMs

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May 04, 2024
Yuval Reif, Roy Schwartz

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

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Mar 31, 2024
Michael Hassid, Tal Remez, Jonas Gehring, Roy Schwartz, Yossi Adi

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Transformers are Multi-State RNNs

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Jan 11, 2024
Matanel Oren, Michael Hassid, Yossi Adi, Roy Schwartz

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Read, Look or Listen? What's Needed for Solving a Multimodal Dataset

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Jul 06, 2023
Netta Madvil, Yonatan Bitton, Roy Schwartz

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Surveying (Dis)Parities and Concerns of Compute Hungry NLP Research

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Jun 29, 2023
Ji-Ung Lee, Haritz Puerto, Betty van Aken, Yuki Arase, Jessica Zosa Forde, Leon Derczynski, Andreas Rücklé, Iryna Gurevych, Roy Schwartz, Emma Strubell, Jesse Dodge

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Morphosyntactic probing of multilingual BERT models

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Jun 09, 2023
Judit Acs, Endre Hamerlik, Roy Schwartz, Noah A. Smith, Andras Kornai

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

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Jun 04, 2023
Daniel Rotem, Michael Hassid, Jonathan Mamou, Roy Schwartz

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Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases

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May 30, 2023
Yuval Reif, Roy Schwartz

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