Nezhurina, Marianna

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

Merrill, M. A., Shaw, A. G., Carlini, N., Li, B., Raj, H., Bercovich, I., Shi, L., Shin, J. Y., Walshe, T., Buchanan, E. K., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 392

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

Nezhurina, M., Cipolina-Kun, L., Cherti, M., & Jitsev, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 21

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing

Fries, J. A., Weber, L., Seelam, N., Altay, G., Datta, D., Garda, S., Kang, M., Su, R., Kusa, W., Cahyawijaya, S., et al. (2022) · arXiv

Biomedical Text Mining and OntologiesTopic Modeling

Cited by 17

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

Gadre, S. Y., Smyrnis, G., Shankar, V., Gururangan, S., Wortsman, M., Shao, R., Mercat, J., Fang, A., Li, J., Keh, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

OpenThoughts: Data Recipes for Reasoning Models

Guha, E., Marten, R., Keh, S., Raoof, N., Smyrnis, G., Bansal, H., Nezhurina, M., Mercat, J., Vu, T., Sprague, Z., et al. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 1