Jenia Jitsev

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

arXiv 2026

OpenThoughts: Data Recipes for Reasoning Models

arXiv 2025

Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets

arXiv 2025

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

arXiv 2025

Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

arXiv 2024

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

arXiv 2024

Resolving Discrepancies in Compute-Optimal Scaling of Language Models

arXiv 2024

DataComp: In search of the next generation of multimodal datasets

NeurIPS 2023 11

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

arXiv 2023

A Comparative Study on Generative Models for High Resolution Solar Observation Imaging

arXiv 2023

Reproducible scaling laws for contrastive language-image learning

CVPR 2023 1

Ludwig Schmidt

professor

Marianna Nezhurina

researcher

Mehdi Cherti

Mitchell Wortsman

Gabriel Ilharco

Georgios Smyrnis

grad-student

Jeffrey Li

Niklas Muennighoff

grad-student

Pang Wei Koh

Romain Beaumont