Yanai Elazar

Publications by Year

Research Areas

Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Text Readability and Simplification, Explainable Artificial Intelligence (XAI)

Most-Cited Works

• → Evaluating Models’ Local Decision Boundaries via Contrast Sets(2020)255 cited
• → Adversarial Removal of Demographic Attributes from Text Data(2018)246 cited
• → Measuring and Improving Consistency in Pretrained Language Models(2021)179 cited
• → oLMpics-On What Language Model Pre-training Captures(2020)125 cited
• → Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals(2021)115 cited
• Evaluating NLP Models via Contrast Sets(2020)
• → Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation(2023)60 cited
• → How Large Are Lions? Inducing Distributions over Quantitative Attributes(2019)59 cited
• → A taxonomy and review of generalization research in NLP(2023)57 cited
• → OLMo: Accelerating the Science of Language Models(2024)46 cited