Alex Mallen

According to our database, Alex Mallen authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automatically Interpreting Millions of Features in Large Language Models.

Gonçalo Paulo, Alex Mallen, Caden Juang, Nora Belrose

CoRR, 2024

Balancing Label Quantity and Quality for Scalable Elicitation.

Alex Mallen, Nora Belrose

CoRR, 2024

Neural Networks Learn Statistics of Increasing Complexity.

Nora Belrose, Quintin Pope, Lucia Quirke, Alex Mallen, Xiaoli Z. Fern

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Eliciting Latent Knowledge from Quirky Language Models.

Alex Mallen, Nora Belrose

CoRR, 2023

Representation Engineering: A Top-Down Approach to AI Transparency.

Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks

CoRR, 2023

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.

Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, Hannaneh Hajishirzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories.

Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, Daniel Khashabi

CoRR, 2022

Koopman-theoretic Approach for Identification of Exogenous Anomalies in Nonstationary Time-series Data.

Alex Mallen, Christoph A. Keller, J. Nathan Kutz

CoRR, 2022

2021

Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties.

Alex Mallen, Henning Lange, J. Nathan Kutz

CoRR, 2021