A taxonomy and review of generalization research in NLP D Hupkes, M Giulianelli, V Dankers, M Artetxe, Y Elazar, T Pimentel, ... Nature Machine Intelligence 5 (10), 1161-1174, 2023 | 93* | 2023 |
Effective attention sheds light on interpretability K Sun, A Marasović arXiv preprint arXiv:2105.08855, 2021 | 19 | 2021 |
Tokenization consistency matters for generative models on extractive NLP tasks K Sun, P Qi, Y Zhang, L Liu, WY Wang, Z Huang arXiv preprint arXiv:2212.09912, 2022 | 5 | 2022 |
The validity of evaluation results: Assessing concurrence across compositionality benchmarks K Sun, A Williams, D Hupkes arXiv preprint arXiv:2310.17514, 2023 | 4 | 2023 |
[Re] A Replication Study of Compositional Generalization Works on Semantic Parsing K Sun, A Williams, D Hupkes ReScience C 9 (2), 44, 2023 | 3 | 2023 |
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models K Sun, M Dredze arXiv preprint arXiv:2408.06663, 2024 | 1 | 2024 |
JHU IWSLT 2024 Dialectal and Low-resource System Description NR Robinson, K Sun, C Xiao, N Bafna, W Tan, H Xu, HL Xinyuan, ... Proceedings of the 21st International Conference on Spoken Language …, 2024 | | 2024 |