LS

Ludwig Schmidt

cs.LGcs.CVcs.CLcs.AIstat.MLcs.DScs.SEcs.CYcs.NEmath.ST

On Valency

published · living versions

Towards Deep Learning Models Resistant to Adversarial Attacks

with Aleksander Madry, Aleksandar Makelov, Dimitris Tsipras, Adrian Vladu

1 version

W_ptuufswfv1 · current

Exploring the Landscape of Spatial Robustness

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Preprints & journals

104 papers in the corpus · 2015–2026

Can Agents Design Libraries for Agents?

Gabriel Orlanski, Alex L. Zhang, Avi Trost et al.

0 citations

2609.36730v12026arXiv

Harbor Adapters and Harbor-Index: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation

Lin Shi, Haowei Lin, Zixuan Zhu et al.

0 citations

2609.04298v32026arXiv

Prefix Sliding for efficient test-time scaling

Niklas Muennighoff, Zhengyang Wang, Zeyi Chen et al.

0 citations

2608.26070v12026arXiv

Measuring AI Scientists: From Exams to Discovery

Yuanqi Du, Steven Dillmann, Jon Laurent et al.

0 citations

10.26434/chemrxiv.15007582/v12026ChemRxiv

Humans are Missing from AI Coding Agent Research

Zora Z. Wang, John Yang, Kilian Lieret et al.

0 citations

2608.12355v12026arXiv

Anchored Self-Play for Code Repair

Caroline Choi, Zeyneb Kaya, Shirley Wu et al.

0 citations

2607.03523v12026arXiv

Learning from Failure: Inference-Time Self-Improvement for Computer-Use Agents

Xueqiao Sun, Xiaohan Wang, Ludwig Schmidt et al.

0 citations

2606.31270v12026arXiv

Beyond expert users: agents should help users construct preferences, not just elicit them

Irena Saracay, Ludwig Schmidt, Carlos Guestrin

0 citations

2606.30863v22026arXiv

DataComp-VLM: Improved Open Datasets for Vision-Language Models

Matteo Farina, Vishaal Udandarao, Thao Nguyen et al.

0 citations

2606.28551v32026arXiv

OpenThoughts-Agent: Data Recipes for Agentic Models

Negin Raoof, Richard Zhuang, Marianna Nezhurina et al.

0 citations

2606.24855v12026arXiv

Raon-OpenTTS: Open Models and Data for Robust Text-to-Speech

Semin Kim, Seungjun Chung, Taehong Moon et al.

0 citations

2605.20830v22026arXiv

V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think

Bingda Tang, Yuhui Zhang, Xiaohan Wang et al.

0 citations

2604.23380v12026arXiv

ZEBRAARENA: A Diagnostic Simulation Environment for Studying Reasoning-Action Coupling in Tool-Augmented LLMs

Wanjia Zhao, Ludwig Schmidt, Yejin Choi et al.

0 citations

2603.18614v22026arXiv

Beyond a Single Extractor: Re-thinking HTML-to-Text Extraction for LLM Pretraining

Jeffrey Li, Josh Gardner, Doug Kang et al.

0 citations

2602.19548v12026arXiv

Understanding the Fine-Grained Knowledge Capabilities of Vision-Language Models

Dhruba Ghosh, Yuhui Zhang, Ludwig Schmidt

0 citations

2602.17871v12026arXiv

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Mike A. Merrill, Alexander G. Shaw, Nicholas Carlini et al.

2 citations

2601.11868v12026arXiv

NitroGen: An Open Foundation Model for Generalist Gaming Agents

Loic Magne, Anas Awadalla, Guanzhi Wang et al.

0 citations

2601.02427v12026arXiv

Concept-Aware Batch Sampling Improves Language-Image Pretraining

Adhiraj Ghosh, Vishaal Udandarao, Thao Nguyen et al.

0 citations

2511.20643v12025arXiv

Reusing Pre-Training Data at Test Time is a Compute Multiplier

Alex Fang, Thomas Voice, Ruoming Pang et al.

0 citations

2511.04234v12025arXiv

CodeClash: Benchmarking Goal-Oriented Software Engineering

John Yang, Kilian Lieret, Joyce Yang et al.

0 citations

2511.00839v22025arXiv

Data or Language Supervision: What Makes CLIP Better than DINO?

Yiming Liu, Yuhui Zhang, Dhruba Ghosh et al.

4 citations

2510.11835v12025arXiv

PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning

Wanjia Zhao, Qinwei Ma, Jingzhe Shi et al.

0 citations

2510.03185v22025arXiv

OLMoASR: Open Models and Data for Training Robust Speech Recognition Models

Huong Ngo, Matt Deitke, Martijn Bartelds et al.

0 citations

2508.20869v12025arXiv

Closing the Modality Gap for Mixed Modality Search

Binxu Li, Yuhui Zhang, Xiaohan Wang et al.

1 citation

2507.19054v12025arXiv

Recycling the Web: A Method to Enhance Pre-training Data Quality and Quantity for Language Models

Thao Nguyen, Yang Li, Olga Golovneva et al.

0 citations

2506.04689v32025arXiv

OpenThoughts: Data Recipes for Reasoning Models

Etash Guha, Ryan Marten, Sedrick Keh et al.

1 citation

2506.04178v22025arXiv

SWE-smith: Scaling Data for Software Engineering Agents

John Yang, Kilian Lieret, Carlos E. Jimenez et al.

6 citations

2504.21798v22025arXiv

Should VLMs be Pre-trained with Image Data?

Sedrick Keh, Jean Mercat, Samir Yitzhak Gadre et al.

0 citations

2503.07603v12025arXiv

Datasets, Documents, and Repetitions: The Practicalities of Unequal Data Quality

Alex Fang, Hadi Pouransari, Matt Jordan et al.

0 citations

2503.07879v22025arXiv

Project Alexandria: Towards Freeing Scientific Knowledge from Copyright Burdens via LLMs

Christoph Schuhmann, Gollam Rabby, Ameya Prabhu et al.

0 citations

2502.19413v22025arXiv

Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation

Yuhui Zhang, Yuchang Su, Yiming Liu et al.

6 citations

2501.03225v22025arXiv

BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions

Anas Awadalla, Le Xue, Manli Shu et al.

0 citations

2411.07461v12024arXiv

Detecting clinical medication errors with AI enabled wearable cameras.

Chan, Justin, Nsumba, Solomon, Wortsman, Mitchell et al.

17 citations

394387642024NPJ digital medicine. 2024;7(1):287

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Le Xue, Manli Shu, Anas Awadalla et al.

1 citation

2408.08872v42024arXiv

Better Alignment with Instruction Back-and-Forth Translation

Thao Nguyen, Jeffrey Li, Sewoong Oh et al.

2 citations

2408.04614v22024arXiv

Resolving Discrepancies in Compute-Optimal Scaling of Language Models

Tomer Porian, Mitchell Wortsman, Jenia Jitsev et al.

1 citation

2406.19146v42024arXiv

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens

Anas Awadalla, Le Xue, Oscar Lo et al.

7 citations

2406.11271v52024arXiv

DataComp-LM: In search of the next generation of training sets for language models

Jeffrey Li, Alex Fang, Georgios Smyrnis et al.

19 citations

2406.11794v42024arXiv

Large Scale Transfer Learning for Tabular Data via Language Modeling

Josh Gardner, Juan C. Perdomo, Ludwig Schmidt

14 citations

2406.12031v22024arXiv

Why are Visually-Grounded Language Models Bad at Image Classification?

Yuhui Zhang, Alyssa Unell, Xiaohan Wang et al.

20 citations

2405.18415v22024arXiv

Multilingual Diversity Improves Vision-Language Representations

Thao Nguyen, Matthew Wallingford, Sebastin Santy et al.

4 citations

2405.16915v32024arXiv

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo et al.

10 citations

2404.01197v22024arXiv

A Sober Look at the Robustness of CLIPs to Spurious Features

Qizhou Wang, Yong Lin, Yongqiang Chen et al.

4 citations

2403.11497v22024arXiv

Language models scale reliably with over-training and on downstream tasks

Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar et al.

5 citations

2403.08540v22024arXiv

Benchmarking Distribution Shift in Tabular Data with TableShift

Josh Gardner, Zoran Popovic, Ludwig Schmidt

19 citations

2312.07577v32023arXiv

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Dhruba Ghosh, Hanna Hajishirzi, Ludwig Schmidt

103 citations

2310.11513v12023arXiv

Data Filtering Networks

Alex Fang, Albin Madappally Jose, Amit Jain et al.

19 citations

2309.17425v32023arXiv

VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use

Yonatan Bitton, Hritik Bansal, Jack Hessel et al.

10 citations

2308.06595v42023arXiv

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Anas Awadalla, Irena Gao, Josh Gardner et al.

86 citations

2308.01390v22023arXiv

On the Connection between Pre-training Data Diversity and Fine-tuning Robustness

Vivek Ramanujan, Thao Nguyen, Sewoong Oh et al.

6 citations

2307.12532v12023arXiv

Career total: 155 works. 104 are in this corpus.Showing the 50 most recent.

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155

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14.5K

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