Yanai Elazar

Venues

Frequent coauthors

Papers

1. Calibrating Large Language Models with Sample Consistency
   AAAI 2025 ·

   Qing Lyu

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2. Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data
   ICLR 2025 ·

   Xinyi Wang

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3. Hybrid Preferences: Learning to Route Instances for Human vs. AI Feedback
   ACL 2025 ·

   Lester James Validad Miranda

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4. OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
   ACL 2025 ·

   Jiacheng Liu

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5. On Linear Representations and Pretraining Data Frequency in Language Models
   ICLR 2025 ·

   Jack Merullo

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6. Applying Intrinsic Debiasing on Downstream Tasks: Challenges and Considerations for Machine Translation
   EMNLP 2024 ·

   Bar Iluz

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7. Backtracking Mathematical Reasoning of Language Models to the Pretraining Data
   ICLR 2024 ·

   Yasaman Razeghi

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8. Detection and Measurement of Syntactic Templates in Generated Text
   EMNLP 2024 ·

   Chantal Shaib

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9. Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
   ACL 2024 ·

   Luca Soldaini

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10. Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG
    EMNLP 2024 ·

    William Merrill

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11. Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
    EMNLP 2024 · Yanai Elazar
12. OLMo: Accelerating the Science of Language Models
    ACL 2024 ·

    Dirk Groeneveld

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13. Paloma: A Benchmark for Evaluating Language Model Fit
    NeurIPS 2024 ·

    Ian Magnusson

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14. The Bias Amplification Paradox in Text-to-Image Generation
    NAACL 2024 ·

    Preethi Seshadri

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15. What's In My Big Data?
    ICLR 2024 · Yanai Elazar