Biderman, Stella

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

Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Peng, B., Goldstein, D., Anthony, Q., Albalak, A., Alcaide, E., Biderman, S., Cheah, E., Du, X., Ferdinan, T., Hou, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

Datasheet for the Pile

Biderman, S., Bicheno, K., & Gao, L. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Lessons from the Trenches on Reproducible Evaluation of Language Models

Biderman, S., Schoelkopf, H., Sutawika, L., Gao, L., Tow, J., Abbasi, B., Aji, A. F., Ammanamanchi, P. S., Black, S., Clive, J., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 9

Stay on topic with Classifier-Free Guidance

Sanchez, G., Fan, H., Spangher, A., Levi, E., Ammanamanchi, P. S., & Biderman, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research

Son, G., Hong, J., Fan, H., Nam, H., Ko, H., Lim, S., Song, J., Choi, J., Paulo, G., Yu, Y., et al. (2025) · arXiv

Academic Writing and PublishingTopic Modeling

Cited by 5

EleutherAI: Going Beyond "Open Science" to "Science in the Open"

Phang, J., Bradley, H., Gao, L., Castricato, L., & Biderman, S. (2022) · arXiv

Academic Publishing and Open AccessOpen Source Software Innovations

Cited by 3

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation

Akhtar, M., Reuel, A., Soni, P., Ahuja, S., Ammanamanchi, P. S., Rawal, R., Zouhar, V., Yadav, S., Whitehouse, C., Ki, D., et al. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

Schaeffer, R., Schoelkopf, H., Miranda, B., Mukobi, G., Madan, V., Ibrahim, A., Bradley, H., Biderman, S., & Koyejo, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

BLOOM+1: Adding Language Support to BLOOM for Zero-Shot Prompting

Yong, Z.-X., Schoelkopf, H., Muennighoff, N., Aji, A. F., Adelani, D. I., Almubarak, K., Bari, M. S., Sutawika, L., Kasai, J., Baruwa, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2

Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs

O'Brien, K., Casper, S., Anthony, Q., Korbak, T., Kirk, R., Davies, X., Mishra, I., Irving, G., Gal, Y., & Biderman, S. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0