BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning. - Asa Cooper Stickland; Iain Murray 001 (ICML, 2019)

Deep Transformers with Latent Depth. - Xian Li 003; Asa Cooper Stickland; Yuqing Tang; Xiang Kong (NeurIPS, 2020)

Diverse Ensembles Improve Calibration. - Asa Cooper Stickland; Iain Murray 001 (CoRR, 2020)

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation. - Asa Cooper Stickland; Xian Li 003; Marjan Ghazvininejad (EACL, 2021)

Multilingual Domain Adaptation for NMT: Decoupling Language and Domain Information with Adapters. - Asa Cooper Stickland; Alexandre Berard; Vassilina Nikoulina (WMT@EMNLP, 2021)

When does Parameter-Efficient Transfer Learning Work for Machine Translation? - Ahmet Üstün; Asa Cooper Stickland (EMNLP, 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)

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 (EACL, 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)

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)

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 (ICLR, 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)

Future Events as Backdoor Triggers: Investigating Temporal Vulnerabilities in LLMs. - Sara Price; Arjun Panickssery; Samuel R. Bowman; 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)

Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods. - Jai Doshi; Asa Cooper Stickland (CoRR, 2024)

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)

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, 2025)