Asa Cooper Stickland

According to our database, Asa Cooper Stickland authored at least 17 papers between 2019 and 2025.

Collaborative distances:

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

2025

RepliBench: Evaluating the autonomous replication capabilities of language model agents.

Sid Black, Asa Cooper Stickland, Jake Pencharz, Oliver Sourbut, Michael Schmatz, Jay Bailey, Ollie Matthews, Ben Millwood, Alex Remedios, Alan Cooney

CoRR, April, 2025

Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs.

Abhay Sheshadri, Aidan Ewart, Phillip Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper

Trans. Mach. Learn. Res., 2025

2024

Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods.

Jai Doshi, Asa Cooper Stickland

CoRR, 2024

Targeted Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs.

Abhay Sheshadri, Aidan Ewart, Phillip Guo, Aengus Lynch, Cindy Wu, Vivek Hebbar, Henry Sleight, Asa Cooper Stickland, Ethan Perez, Dylan Hadfield-Menell, Stephen Casper

CoRR, 2024

Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs.

Sara Price, Arjun Panickssery, Samuel R. Bowman, Asa Cooper Stickland

CoRR, 2024

Steering Without Side Effects: Improving Post-Deployment Control of Language Models.

Asa Cooper Stickland, Alexander Lyzhov, Jacob Pfau, Salsabila Mahdi, Samuel R. Bowman

CoRR, 2024

The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A".

Lukas Berglund, Meg Tong, Maximilian Kaufmann, Mikita Balesni, Asa Cooper Stickland, Tomasz Korbak, Owain Evans

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, Samuel R. Bowman

CoRR, 2023

Taken out of context: On measuring situational awareness in LLMs.

Lukas Berglund, Asa Cooper Stickland, Mikita Balesni, Maximilian Kaufmann, Meg Tong, Tomasz Korbak, Daniel Kokotajlo, Owain Evans

CoRR, 2023

Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining.

Asa Cooper Stickland, Sailik Sengupta, Jason Krone, Saab Mansour, He He

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Robustification of Multilingual Language Models to Real-world Noise with Robust Contrastive Pretraining.

Asa Cooper Stickland, Sailik Sengupta, Jason Krone, Saab Mansour, He He

CoRR, 2022

When does Parameter-Efficient Transfer Learning Work for Machine Translation?

Ahmet Üstün, Asa Cooper Stickland

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters.

Asa Cooper Stickland, Alexandre Berard, Vassilina Nikoulina

Proceedings of the Sixth Conference on Machine Translation, 2021

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation.

Asa Cooper Stickland, Xian Li, Marjan Ghazvininejad

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Diverse Ensembles Improve Calibration.

Asa Cooper Stickland, Iain Murray

CoRR, 2020

Deep Transformers with Latent Depth.

Xian Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning.

Asa Cooper Stickland, Iain Murray

Proceedings of the 36th International Conference on Machine Learning, 2019