Vig, Jesse

A Multiscale Visualization of Attention in the Transformer Model

Vig, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 600

BERTology Meets Biology: Interpreting Attention in Protein Language Models

Vig, J., Madani, A., Varshney, L. R., Xiong, C., Socher, R., & Rajani, N. F. (2020) · bioRxiv (Cold Spring Harbor Laboratory)

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 338

Analyzing the Structure of Attention in a Transformer Language Model

Vig, J., & Belinkov, Y. (2019) · Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Topic ModelingNatural Language Processing Techniques

Cited by 301

Interactive Model Cards: A Human-Centered Approach to Model Documentation

Crisan, A., Drouhard, M., Vig, J., & Rajani, N. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 101

Beyond the Chat: Executable and Verifiable Text-Editing with LLMs

Laban, P., Vig, J., Hearst, M., Xiong, C., & Wu, C.-S. (2024) · Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology

Usability and User Interface DesignSoftware Engineering Research

Cited by 31

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

Yin, F., Vig, J., Laban, P., Joty, S., Xiong, C., & Wu, C.-S. J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 10