| Should You Mask 15% in Masked Language Modeling? A Wettig, T Gao, Z Zhong, D Chen Conference of the European Chapter of the Association for Computational …, 2023 | 113 | 2023 |
| Adapting language models to compress contexts A Chevalier, A Wettig, A Ajith, D Chen arXiv preprint arXiv:2305.14788, 2023 | 42 | 2023 |
| Phrase Retrieval Learns Passage Retrieval, Too J Lee, A Wettig, D Chen Conference on Empirical Methods in Natural Language Processing (EMNLP), 3661 …, 2021 | 40 | 2021 |
| Swe-bench: Can language models resolve real-world github issues? CE Jimenez, J Yang, A Wettig, S Yao, K Pei, O Press, K Narasimhan arXiv preprint arXiv:2310.06770, 2023 | 36 | 2023 |
| A Kernel-Based View of Language Model Fine-Tuning S Malladi, A Wettig, D Yu, D Chen, S Arora International Conference on Machine Learning (ICML), 2023, 2022 | 34 | 2022 |
| Learning Transformer Programs D Friedman, A Wettig, D Chen NeurIPS 2023, 2023 | 10 | 2023 |
| Finding Dataset Shortcuts with Grammar Induction D Friedman, A Wettig, D Chen Conference on Empirical Methods in Natural Language Processing (EMNLP), 4345 …, 2022 | 8 | 2022 |
| Poisoning retrieval corpora by injecting adversarial passages Z Zhong, Z Huang, A Wettig, D Chen arXiv preprint arXiv:2310.19156, 2023 | 6 | 2023 |
| Language Models as Science Tutors A Chevalier, J Geng, A Wettig, H Chen, S Mizera, T Annala, MJ Aragon, ... arXiv preprint arXiv:2402.11111, 2024 | | 2024 |
| QuRating: Selecting High-Quality Data for Training Language Models A Wettig, A Gupta, S Malik, D Chen arXiv preprint arXiv:2402.09739, 2024 | | 2024 |
Danqi ChenPrinceton Universitycs.princeton.edu의 이메일 확인됨
