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Alexander Wettig
Alexander Wettig
cs.princeton.eduÀÇ À̸ÞÀÏ È®ÀÎµÊ - ȨÆäÀÌÁö
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SWE-bench: Can language models resolve real-world github issues?
CE Jimenez, J Yang, A Wettig, S Yao, K Pei, O Press, K Narasimhan
International Conference on Learning Representations (ICLR), 2024
1842024
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
1532023
Adapting language models to compress contexts
A Chevalier, A Wettig, A Ajith, D Chen
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
1002023
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering
J Yang, CE Jimenez, A Wettig, K Lieret, S Yao, K Narasimhan, O Press
73*2024
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
522023
Phrase Retrieval Learns Passage Retrieval, Too
J Lee, A Wettig, D Chen
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
462021
Poisoning retrieval corpora by injecting adversarial passages
Z Zhong, Z Huang, A Wettig, D Chen
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
332023
Learning Transformer Programs
D Friedman, A Wettig, D Chen
NeurIPS, 2023
272023
QuRating: Selecting High-Quality Data for Training Language Models
A Wettig, A Gupta, S Malik, D Chen
International Conference on Machine Learning (ICML), 2024
182024
Swe-bench: Can language models resolve real-world github issues?, 2024
CE Jimenez, J Yang, A Wettig, S Yao, K Pei, O Press, K Narasimhan
URL https://arxiv. org/abs/2310.06770, 2023
122023
Finding Dataset Shortcuts with Grammar Induction
D Friedman, A Wettig, D Chen
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
112022
Language Models as Science Tutors
A Chevalier, J Geng, A Wettig, H Chen, S Mizera, T Annala, MJ Aragon, ...
International Conference on Machine Learning (ICML), 2024
92024
How to train long-context language models (effectively)
T Gao, A Wettig, H Yen, D Chen
arXiv preprint arXiv:2410.02660, 2024
32024
OLMoE: Open Mixture-of-Experts Language Models
N Muennighoff, L Soldaini, D Groeneveld, K Lo, J Morrison, S Min, W Shi, ...
arXiv preprint arXiv:2409.02060, 2024
12024
Finding transformer circuits with edge pruning
A Bhaskar, A Wettig, D Friedman, D Chen
arXiv preprint arXiv:2406.16778, 2024
12024
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