Alexander Wettig

According to our database, Alexander Wettig authored at least 22 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs?

Adithya Bhaskar, Alexander Wettig, Tianyu Gao, Yihe Dong, Danqi Chen

CoRR, June, 2025

SWE-smith: Scaling Data for Software Engineering Agents.

John Yang, Kilian Leret, Carlos E. Jimenez, Alexander Wettig, Kabir Khandpur, Yanzhe Zhang, Binyuan Hui, Ofir Press, Ludwig Schmidt, Diyi Yang

CoRR, April, 2025

Lugha-Llama: Adapting Large Language Models for African Languages.

Happy Buzaaba, Alexander Wettig, David Ifeoluwa Adelani, Christiane Fellbaum

CoRR, April, 2025

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation.

Alexander Wettig, Kyle Lo, Sewon Min, Hannaneh Hajishirzi, Danqi Chen, Luca Soldaini

CoRR, February, 2025

Metadata Conditioning Accelerates Language Model Pre-training.

Tianyu Gao, Alexander Wettig, Luxi He, Yihe Dong, Sadhika Malladi, Danqi Chen

CoRR, January, 2025

OLMoE: Open Mixture-of-Experts Language Models.

Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

How to Train Long-Context Language Models (Effectively).

Tianyu Gao, Alexander Wettig, Howard Yen, Danqi Chen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Establishing Task Scaling Laws via Compute-Efficient Model Ladders.

Akshita Bhagia, Jiacheng Liu, Alexander Wettig, David Heineman, Oyvind Tafjord, Ananya Harsh Jha, Luca Soldaini, Noah A. Smith, Dirk Groeneveld, Pang Wei Koh, Jesse Dodge, Hannaneh Hajishirzi

CoRR, 2024

OLMoE: Open Mixture-of-Experts Language Models.

Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi

CoRR, 2024

Language Models as Science Tutors.

Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Jia, Jiatong Yu, Jun-Jie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen

CoRR, 2024

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

John Yang, Carlos E. Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Finding Transformer Circuits With Edge Pruning.

Adithya Bhaskar, Alexander Wettig, Dan Friedman, Danqi Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

QuRating: Selecting High-Quality Data for Training Language Models.

Alexander Wettig, Aatmik Gupta, Saumya Malik, Danqi Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Language Models as Science Tutors.

Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Xia, Jiatong Yu, Junjie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SWE-bench: Can Language Models Resolve Real-world Github Issues?

Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik R. Narasimhan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning Transformer Programs.

Dan Friedman, Alexander Wettig, Danqi Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Kernel-Based View of Language Model Fine-Tuning.

Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora

Proceedings of the International Conference on Machine Learning, 2023

Poisoning Retrieval Corpora by Injecting Adversarial Passages.

Zexuan Zhong, Ziqing Huang, Alexander Wettig, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Adapting Language Models to Compress Contexts.

Alexis Chevalier, Alexander Wettig, Anirudh Ajith, Danqi Chen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Should You Mask 15% in Masked Language Modeling?

Alexander Wettig, Tianyu Gao, Zexuan Zhong, Danqi Chen

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Finding Dataset Shortcuts with Grammar Induction.

Dan Friedman, Alexander Wettig, Danqi Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Phrase Retrieval Learns Passage Retrieval, Too.

Jinhyuk Lee, Alexander Wettig, Danqi Chen

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021