Hu, Jennifer

Auxiliary task demands mask the capabilities of smaller language models

Hu, J., & Frank, M. C. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8

One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity

Murthy, S. K., Ullman, T., & Hu, J. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 8

Language Models Fail to Introspect About Their Knowledge of Language

Song, S., Hu, J., & Mahowald, K. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 2

Privileged Self-Access Matters for Introspection in AI

Song, S., Lederman, H., Hu, J., & Mahowald, K. (2025) · arXiv

Philosophy and Theoretical ScienceExplainable Artificial Intelligence (XAI)

Cited by 0