| NeurQuRI: Neural question requirement inspector for answerability prediction in machine reading comprehension S Back, SC Chinthakindi, A Kedia, H Lee, J Choo International Conference on Learning Representations, 2019 | 30 | 2019 |
| Learning to generate questions by learning to recover answer-containing sentences S Back, A Kedia, SC Chinthakindi, H Lee, J Choo Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 17 | 2021 |
| You only need one model for open-domain question answering H Lee, A Kedia, J Lee, A Paranjape, CD Manning, KG Woo EMNLP 2022, 2021 | 15 | 2021 |
| Beyond Reptile: Meta-learned dot-product maximization between gradients for improved single-task regularization A Kedia, SC Chinthakindi, W Ryu Findings of the Association for Computational Linguistics: EMNLP 2021, 407-420, 2021 | 14 | 2021 |
| Keep learning: Self-supervised meta-learning for learning from inference A Kedia, SC Chinthakindi Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 8 | 2021 |
| Fie: Building a global probability space by leveraging early fusion in encoder for open-domain question answering A Kedia, MA Zaidi, H Lee EMNLP 2022, 2022 | 7 | 2022 |
| Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models A Kedia, MA Zaidi, S Khyalia, J Jung, H Goka, H Lee arXiv preprint arXiv:2403.09635, 2024 | | 2024 |
Haejun LeeSamsung Researchsamsung.com의 이메일 확인됨
