Sewon Min
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Multimodal Machine Learning Applications, Advanced Graph Neural Networks, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?(2022)619 cited
- → Measuring and Narrowing the Compositionality Gap in Language Models(2023)202 cited
- → FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation(2023)197 cited
- → Multi-hop Reading Comprehension through Question Decomposition and Rescoring(2019)188 cited
- → AmbigQA: Answering Ambiguous Open-domain Questions(2020)161 cited
- → A Discrete Hard EM Approach for Weakly Supervised Question Answering(2019)153 cited
- → Efficient and Robust Question Answering from Minimal Context over Documents(2018)148 cited
- → Dense Passage Retrieval for Open-Domain Question Answering(2020)142 cited
- → MetaICL: Learning to Learn In Context(2022)133 cited
- → REPLUG: Retrieval-Augmented Black-Box Language Models(2024)129 cited