| Choosing transfer languages for cross-lingual learning YH Lin, CY Chen, J Lee, Z Li, Y Zhang, M Xia, S Rijhwani, J He, Z Zhang, ... ACL 2019, 2019 | 254 | 2019 |
| Catastrophic jailbreak of open-source llms via exploiting generation Y Huang, S Gupta, M Xia, K Li, D Chen ICLR 2024, 2023 | 248 | 2023 |
| Structured Pruning Learns Compact and Accurate Models M Xia, Z Zhong, D Chen ACL 2022, 2022 | 236 | 2022 |
| Detecting Pretraining Data from Large Language Models W Shi*, A Ajith*, M Xia, Y Huang, D Liu, T Blevins, D Chen, L Zettlemoyer ICLR 2024, 2023 | 235 | 2023 |
| Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning M Xia, T Gao, Z Zeng, D Chen ICLR 2024, 2023 | 229 | 2023 |
| SimPO: Simple Preference Optimization with a Reference-Free Reward Y Meng*, M Xia*, D Chen NeurIPS 2024, 2024 | 215 | 2024 |
| Generalized data augmentation for low-resource translation M Xia, X Kong, A Anastasopoulos, G Neubig ACL 2019, 2019 | 150 | 2019 |
| LESS: Selecting Influential Data for Targeted Instruction Tuning M Xia*, S Malladi*, S Gururangan, S Arora, D Chen ICML 2024, 2024 | 149 | 2024 |
| Demoting racial bias in hate speech detection M Xia, A Field, Y Tsvetkov arXiv preprint arXiv:2005.12246, 2020 | 121 | 2020 |
| Domain adaptation of neural machine translation by lexicon induction J Hu, M Xia, G Neubig, J Carbonell ACL 2019, 2019 | 82 | 2019 |
| Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications B Wei, K Huang, Y Huang, T Xie, X Qi, M Xia, P Mittal, M Wang, ... ICML 2024, 2024 | 77 | 2024 |
| Predicting performance for natural language processing tasks M Xia, A Anastasopoulos, R Xu, Y Yang, G Neubig ACL 2020, 2020 | 57 | 2020 |
| Graph based translation memory for neural machine translation M Xia, G Huang, L Liu, S Shi Proceedings of the AAAI conference on artificial intelligence 33 (01), 7297-7304, 2019 | 51 | 2019 |
| Training Trajectories of Language Models Across Scales M Xia, M Artetxe, C Zhou, XV Lin, R Pasunuru, D Chen, L Zettlemoyer, ... ACL 2023, 2023 | 43* | 2023 |
| MABEL: Attenuating Gender Bias using Textual Entailment Data J He, M Xia, C Fellbaum, D Chen EMNLP 2022, 2022 | 36 | 2022 |
| MetaXL: Meta representation transformation for low-resource cross-lingual learning M Xia, G Zheng, S Mukherjee, M Shokouhi, G Neubig, AH Awadallah NAACL 2021, 2021 | 35 | 2021 |
| What is in Your Safe Data? Identifying Benign Data that Breaks Safety L He*, M Xia*, P Henderson COLM 2024, 2024 | 29 | 2024 |
| CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs Z Wang, M Xia, L He, H Chen, Y Liu, R Zhu, K Liang, X Wu, H Liu, ... NeurIPS D&B 2024, 2024 | 24 | 2024 |
| Non-parametric few-shot learning for word sense disambiguation H Chen, M Xia, D Chen NAACL 2021, 2021 | 21 | 2021 |
| Trainable Transformer in Transformer A Panigrahi, S Malladi, M Xia, S Arora ICML 2024, 2023 | 20 | 2023 |
Danqi ChenPrinceton University確認したメール アドレス: cs.princeton.edu