Aengus Lynch

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 7

Top Topics

Machine Learning

Top Venues

Publications

Abhay Sheshadri, Aidan Ewart, Phillip Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper
Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs. CoRR (2024)
Aengus Lynch, Phillip Guo, Aidan Ewart, Stephen Casper, Dylan Hadfield-Menell
Eight Methods to Evaluate Robust Unlearning in LLMs. CoRR (2024)
Daniel Tan, David Chanin, Aengus Lynch, Dimitrios Kanoulas, Brooks Paige, Adrià Garriga-Alonso, Robert Kirk
Analyzing the Generalization and Reliability of Steering Vectors. CoRR (2024)
Aengus Lynch, Gbètondji J.-S. Dovonon, Jean Kaddour, Ricardo Silva
Spawrious: A Benchmark for Fine Control of Spurious Correlation Biases. CoRR (2023)
Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso
Towards Automated Circuit Discovery for Mechanistic Interpretability. CoRR (2023)
Arthur Conmy, Augustine N. Mavor-Parker, Aengus Lynch, Stefan Heimersheim, Adrià Garriga-Alonso
Towards Automated Circuit Discovery for Mechanistic Interpretability. NeurIPS (2023)
Jean Kaddour, Aengus Lynch, Qi Liu, Matt J. Kusner, Ricardo Silva
Causal Machine Learning: A Survey and Open Problems. CoRR (2022)