Bianchi, Federico

A visual–language foundation model for pathology image analysis using medical twitter

Huang, Z., Bianchi, F., Yuksekgonul, M., Montine, T. J., & Zou, J. (2023) · Nature Medicine

Multimodal Machine Learning ApplicationsAI in cancer detection

Cited by 693

Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scale

Bianchi, F., Kalluri, P., Durmus, E., Ladhak, F., Cheng, M., Nozza, D., Hashimoto, T., Jurafsky, D., Zou, J., & Caliskan, A. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 342

HONEST: Measuring Hurtful Sentence Completion in Language Models

Nozza, D., Bianchi, F., & Hovy, D. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 95

Optimizing generative AI by backpropagating language model feedback

Yuksekgonul, M., Bianchi, F., Boen, J., Liu, S., Lu, P., Huang, Z., Guestrin, C., & Zou, J. (2025) · Nature

Artificial Intelligence ApplicationsTopic Modeling

Cited by 85

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Röttger, P., Kirk, H., Vidgen, B., Attanasio, G., Bianchi, F., & Hovy, D. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 77

Neural-symbolic integration and the Semantic Web

Hitzler, P., Bianchi, F., Ebrahimi, M., & Sarker, M. K. (2020) · Semantic Web

Semantic Web and OntologiesLogic, Reasoning, and Knowledge

Cited by 70

Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages

Röttger, P., Nozza, D., Bianchi, F., & Hovy, D. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 18

TextGrad: Automatic "Differentiation" via Text

Yuksekgonul, M., Bianchi, F., Boen, J., Liu, S., Huang, Z., Guestrin, C., & Zou, J. (2024) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 12

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Suzgun, M., Yuksekgonul, M., Bianchi, F., Jurafsky, D., & Zou, J. (2026) · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Domain Adaptation and Few-Shot LearningNatural Language Processing Techniques

Cited by 9

XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Röttger, P., Kirk, H. R., Vidgen, B., Attanasio, G., Bianchi, F., & Hovy, D. (2023) · arXiv

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 6

Belief in the Machine: Investigating Epistemological Blind Spots of Language Models

Suzgun, M., Gur, T., Bianchi, F., Ho, D. E., Icard, T., Jurafsky, D., & Zou, J. (2024) · arXiv

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 3

To Err Is Human: Systematic Quantification of Errors in Published AI Papers via LLM Analysis

Bianchi, F., Kwon, Y., Izzo, Z., Zhang, L., & Zou, J. (2025) · arXiv

Academic Writing and PublishingPublishing and Scholarly Communication

Cited by 1

Learning to Discover at Test Time

Yuksekgonul, M., Koceja, D., Li, X., Bianchi, F., McCaleb, J., Wang, X., Kautz, J., Choi, Y., Zou, J., Guestrin, C., et al. (2026) · arXiv

Artificial Intelligence ApplicationsEvolutionary Algorithms and Applications

Cited by 1

Dynamic Cheatsheet: Test-Time Learning with Adaptive Memory

Suzgun, M., Yuksekgonul, M., Bianchi, F., Jurafsky, D., & Zou, J. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0