Phrase Retrieval Learns Passage Retrieval, Too. - Jinhyuk Lee; Alexander Wettig; Danqi Chen 001 (AKBC, 2021)

Finding Dataset Shortcuts with Grammar Induction. - Dan Friedman; Alexander Wettig; Danqi Chen 001 (EMNLP, 2022)

Should You Mask 15% in Masked Language Modeling? - Alexander Wettig; Tianyu Gao 001; Zexuan Zhong; Danqi Chen 001 (EACL, 2023)

Adapting Language Models to Compress Contexts. - Alexis Chevalier; Alexander Wettig; Anirudh Ajith; Danqi Chen 001 (EMNLP, 2023)

Poisoning Retrieval Corpora by Injecting Adversarial Passages. - Zexuan Zhong; Ziqing Huang; Alexander Wettig; Danqi Chen 001 (EMNLP, 2023)

A Kernel-Based View of Language Model Fine-Tuning. - Sadhika Malladi; Alexander Wettig; Dingli Yu; Danqi Chen 001; Sanjeev Arora (ICML, 2023)

Learning Transformer Programs. - Dan Friedman; Alexander Wettig; Danqi Chen 001 (NeurIPS, 2023)

SWE-bench: Can Language Models Resolve Real-world Github Issues? - Carlos E. Jimenez; John Yang 002; Alexander Wettig; Shunyu Yao; Kexin Pei; Ofir Press; Karthik R. Narasimhan (ICLR, 2024)

Language Models as Science Tutors. - Alexis Chevalier; Jiayi Geng; Alexander Wettig; Howard Chen 003; Sebastian Mizera; Toni Annala; Max Jameson Aragon; Arturo Rodríguez Fanlo; Simon Frieder; Simon Machado; Akshara Prabhakar; Ellie Thieu; et al. (ICML, 2024)

QuRating: Selecting High-Quality Data for Training Language Models. - Alexander Wettig; Aatmik Gupta; Saumya Malik; Danqi Chen 001 (ICML, 2024)

Finding Transformer Circuits With Edge Pruning. - Adithya Bhaskar; Alexander Wettig; Dan Friedman; Danqi Chen 001 (NeurIPS, 2024)

SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering. - John Yang 002; Carlos E. Jimenez; Alexander Wettig; Kilian Lieret; Shunyu Yao; Karthik Narasimhan; Ofir Press (NeurIPS, 2024)

Language Models as Science Tutors. - Alexis Chevalier; Jiayi Geng; Alexander Wettig; Howard Chen 003; Sebastian Mizera; Toni Annala; Max Jameson Aragon; Arturo Rodríguez Fanlo; Simon Frieder; Simon Machado; Akshara Prabhakar; Ellie Thieu; et al. (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 001; Yuling Gu; Shane Arora; et al. (CoRR, 2024)

Establishing Task Scaling Laws via Compute-Efficient Model Ladders. - Akshita Bhagia; Jiacheng Liu 010; 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)

How to Train Long-Context Language Models (Effectively). - Tianyu Gao 001; Alexander Wettig; Howard Yen; Danqi Chen 001 (ACL (1), 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 001; Yuling Gu; Shane Arora; et al. (ICLR, 2025)

Metadata Conditioning Accelerates Language Model Pre-training. - Tianyu Gao 001; Alexander Wettig; Luxi He; Yihe Dong; Sadhika Malladi; Danqi Chen 001 (CoRR, 2025)

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation. - Alexander Wettig; Kyle Lo; Sewon Min; Hannaneh Hajishirzi; Danqi Chen 001; Luca Soldaini (CoRR, 2025)

Lugha-Llama: Adapting Large Language Models for African Languages. - Happy Buzaaba; Alexander Wettig; David Ifeoluwa Adelani; Christiane Fellbaum (CoRR, 2025)

SWE-smith: Scaling Data for Software Engineering Agents. - John Yang 002; Kilian Leret; Carlos E. Jimenez; Alexander Wettig; Kabir Khandpur; Yanzhe Zhang; Binyuan Hui; Ofir Press; Ludwig Schmidt; Diyi Yang (CoRR, 2025)

Cache Me If You Can: How Many KVs Do You Need for Effective Long-Context LMs? - Adithya Bhaskar; Alexander Wettig; Tianyu Gao 001; Yihe Dong; Danqi Chen 001 (CoRR, 2025)