Najoung Kim
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Text Readability and Simplification, Software Engineering Research
Most-Cited Works
- → What do you learn from context? Probing for sentence structure in\n contextualized word representations(2019)362 cited
- → COGS: A Compositional Generalization Challenge Based on Semantic Interpretation(2020)149 cited
- → Probing What Different NLP Tasks Teach Machines about Function Word Comprehension(2019)95 cited
- → Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling(2019)90 cited
- → Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks(2024)40 cited
- → Automatic Scoring of Semantic Fluency(2019)33 cited
- → Implicit Discourse Relation Classification: We Need to Talk about Evaluation(2020)31 cited
- → LAMBADA: Backward Chaining for Automated Reasoning in Natural Language(2023)27 cited
- → Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering(2021)27 cited