Search Results - Elazar, Yanai

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  1. 1
    oLMpics-On What Language Model Pre-training Captures

    oLMpics-On What Language Model Pre-training Captures by Talmor, Alon, Elazar, Yanai, Goldberg, Yoav, Berant, Jonathan

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  2. 2
    Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals

    Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals by Elazar, Yanai, Ravfogel, Shauli, Jacovi, Alon, Goldberg, Yoav

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  3. 3
    Measuring and Improving Consistency in Pretrained Language Models

    Measuring and Improving Consistency in Pretrained Language Models by Elazar, Yanai, Kassner, Nora, Ravfogel, Shauli, Ravichander, Abhilasha, Hovy, Eduard, Schütze, Hinrich, Goldberg, Yoav

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  4. 4
    Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes

    Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes by Sabo, Ofer, Elazar, Yanai, Goldberg, Yoav, Dagan, Ido

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  5. 5
    Where’s My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution

    Where’s My Head? Definition, Data Set, and Models for Numeric Fused-Head Identification and Resolution by Elazar, Yanai, Goldberg, Yoav

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  6. 6
    Text-based NP Enrichment

    Text-based NP Enrichment by Elazar, Yanai, Basmov, Victoria, Goldberg, Yoav, Tsarfaty, Reut

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  7. 7
    Erratum: Measuring and Improving Consistency in Pretrained Language Models

    Erratum: Measuring and Improving Consistency in Pretrained Language Models by Elazar, Yanai, Kassner, Nora, Ravfogel, Shauli, Ravichander, Abhilasha, Hovy, Eduard, Schütze, Hinrich, Goldberg, Yoav

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  8. 8
    State-of-the-art generalisation research in NLP: A taxonomy and review

    State-of-the-art generalisation research in NLP: A taxonomy and review by Hupkes, Dieuwke, Giulianelli, Mario, Dankers, Verna, Artetxe, Mikel, Yanai Elazar, Pimentel, Tiago, Christodoulopoulos, Christos, Lasri, Karim, Saphra, Naomi, Sinclair, Arabella, Ulmer, Dennis, Schottmann, Florian, Batsuren, Khuyagbaatar, Kaiser, Sun, Sinha, Koustuv, Khalatbari, Leila, Ryskina, Maria, Frieske, Rita, Cotterell, Ryan, Jin, Zhijing

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  9. 9
    Evaluating \(n\)-Gram Novelty of Language Models Using Rusty-DAWG

    Evaluating \(n\)-Gram Novelty of Language Models Using Rusty-DAWG by Merrill, William, Smith, Noah A, Yanai Elazar

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  10. 10
    The Bias Amplification Paradox in Text-to-Image Generation

    The Bias Amplification Paradox in Text-to-Image Generation by Seshadri, Preethi, Singh, Sameer, Yanai Elazar

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  11. 11
    At Your Fingertips: Extracting Piano Fingering Instructions from Videos

    At Your Fingertips: Extracting Piano Fingering Instructions from Videos by Moryossef, Amit, Yanai Elazar, Goldberg, Yoav

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  12. 12
    GRADE: Quantifying Sample Diversity in Text-to-Image Models

    GRADE: Quantifying Sample Diversity in Text-to-Image Models by Rassin, Royi, Slobodkin, Aviv, Ravfogel, Shauli, Yanai Elazar, Goldberg, Yoav

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  13. 13
    Detection and Measurement of Syntactic Templates in Generated Text

    Detection and Measurement of Syntactic Templates in Generated Text by Shaib, Chantal, Yanai Elazar, Li, Junyi Jessy, Wallace, Byron C

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  14. 14
    Lexical Generalization Improves with Larger Models and Longer Training

    Lexical Generalization Improves with Larger Models and Longer Training by Bandel, Elron, Goldberg, Yoav, Yanai Elazar

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  15. 15
    Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation

    Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation by Bar Iluz, Yanai Elazar, Yehudai, Asaf, Stanovsky, Gabriel

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  16. 16
    Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution

    Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution by Yanai Elazar, Goldberg, Yoav

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  17. 17
    Adversarial Removal of Demographic Attributes from Text Data

    Adversarial Removal of Demographic Attributes from Text Data by Yanai Elazar, Goldberg, Yoav

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  18. 18
    Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

    Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation by Mosbach, Marius, Pimentel, Tiago, Ravfogel, Shauli, Klakow, Dietrich, Yanai Elazar

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  19. 19
    Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data

    Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data by Wang, Xinyi, Antoniades, Antonis, Yanai Elazar, Amayuelas, Alfonso, Albalak, Alon, Zhang, Kexun, William Yang Wang

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  20. 20
    Estimating the Causal Effect of Early ArXiving on Paper Acceptance

    Estimating the Causal Effect of Early ArXiving on Paper Acceptance by Yanai Elazar, Zhang, Jiayao, Wadden, David, Zhang, Bo, Smith, Noah A

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