🧑‍🔬 Ludwig Schmidt — all works

28 works · ← Ludwig Schmidt

1. Towards Deep Learning Models Resistant to Adversarial AttacksarXiv:1706.06083Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, et al.2017 · 1,874 citations
2. Objaverse: A Universe of Annotated 3D Objects ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMatt Deitke et al.2023 · 800 citations
3. Measuring and Narrowing the Compositionality Gap in Language Models ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetOfir Press et al.2023 · 776 citations
4. Reproducible scaling laws for contrastive language-image learningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 769 citations
5. Robust fine-tuning of zero-shot models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMitchell Wortsman et al.2022 · 519 citations
6. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
7. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
8. DataComp: In search of the next generation of multimodal datasets ↗arXiv:2304.14108 · no summary yetSamir Yitzhak Gadre et al.2023 · 224 citations
9. Measuring Robustness to Natural Distribution Shifts in Image Classification ↗neural information processing systems · no summary yetRohan Taori et al.2020 · 209 citations
10. CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSamir Yitzhak Gadre et al.2023 · 193 citations
11. Are aligned neural networks adversarially aligned? ↗arXiv:2306.15447 · no summary yetNicholas Carlini et al.2023 · 157 citations
12. Unlabeled Data Improves Adversarial Robustness ↗arXiv (Cornell University) · no summary yetYair Carmon et al.2019 · 91 citations
13. Predicting with Confidence on Unseen Distributions ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetDevin Guillory et al.2021 · 85 citations
14. Data Filtering Networks ↗arXiv:2309.17425 · no summary yetAlex Fang et al.2023 · 60 citations
15. Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization ↗arXiv (Cornell University) · no summary yetJohn J. Miller et al.2021 · 59 citations
16. Improving Multimodal Datasets with Image Captioning ↗arXiv:2307.10350 · no summary yetThao Nguyen et al.2023 · 51 citations
17. Stable and low-precision training for large-scale vision-language models ↗arXiv:2304.13013 · no summary yetMitchell Wortsman et al.2023 · 46 citations
18. SWE-smith: Scaling Data for Software Engineering Agents ↗neural information processing systems · no summary yetJohn Yang et al.2025 · 44 citations
19. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
20. Multilingual Diversity Improves Vision-Language Representations ↗neural information processing systems · no summary yetThao Nguyen et al.2024 · 16 citations
21. Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models ↗arXiv (Cornell University) · no summary yetNguyen, Thao et al.2025 · 11 citations
22. Better Alignment with Instruction Back-and-Forth Translation ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetThao Nguyen et al.2024 · 10 citations
23. Humans are Missing from AI Coding Agent Research ↗arXiv (Cornell University) · no summary yetZora Z. Wang et al.2026 · 6 citations
24. NitroGen: An Open Foundation Model for Generalist Gaming Agents ↗arXiv (Cornell University) · no summary yetLoïc Magne et al.2026 · 5 citations
25. CodeClash: Benchmarking Goal-Oriented Software Engineering ↗arXiv (Cornell University) · no summary yetJohn Jeongseok Yang et al.2025 · 3 citations
26. Prefix Sliding for efficient test-time scaling ↗arXiv (Cornell University) · no summary yetNiklas Muennighoff et al.2026 · 1 citation
27. Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pre-training ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetJeffrey Li et al.2026
28. Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining ↗arXiv (Cornell University) · no summary yetJeffrey Li et al.2026

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