Robert Kirk

According to our database, Robert Kirk authored at least 32 papers between 1980 and 2025.

Collaborative distances:

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

2025

Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs.

Kyle O'Brien, Stephen Casper, Quentin Anthony, Tomek Korbak, Robert Kirk, Xander Davies, Ishan Mishra, Geoffrey Irving, Yarin Gal, Stella Biderman

CoRR, August, 2025

Security Challenges in AI Agent Deployment: Insights from a Large Scale Public Competition.

Andy Zou, Maxwell Lin, Eliot Krzysztof Jones, Micha Nowak, Mateusz Dziemian, Nick Winter, Alexander Grattan, Valent Nathanael, Ayla Croft, Xander Davies, Jai Patel, Robert Kirk, Nate Burnikell, Yarin Gal, Dan Hendrycks, J. Zico Kolter, Matt Fredrikson

CoRR, July, 2025

STACK: Adversarial Attacks on LLM Safeguard Pipelines.

Ian R. McKenzie, Oskar Hollinsworth, Tom Tseng, Xander Davies, Stephen Casper, Aaron D. Tucker, Robert Kirk, Adam Gleave

CoRR, June, 2025

Existing Large Language Model Unlearning Evaluations Are Inconclusive.

Zhili Feng, Yixuan Even Xu, Alexander Robey, Robert Kirk, Xander Davies, Yarin Gal, Avi Schwarzschild, J. Zico Kolter

CoRR, June, 2025

Reward Model Overoptimisation in Iterated RLHF.

Lorenz Wolf, Robert Kirk, Mirco Musolesi

CoRR, May, 2025

An Example Safety Case for Safeguards Against Misuse.

Joshua Clymer, Jonah Weinbaum, Robert Kirk, Kimberly Mai, Selena Zhang, Xander Davies

CoRR, May, 2025

How Do Large Language Monkeys Get Their Power (Laws)?

Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo

CoRR, February, 2025

Dataset Featurization: Uncovering Natural Language Features through Unsupervised Data Reconstruction.

Michal Bravansky, Vaclav Kubon, Suhas Hariharan, Robert Kirk

CoRR, February, 2025

Fundamental Limitations in Defending LLM Finetuning APIs.

Xander Davies, Eric Winsor, Tomek Korbak, Alexandra Souly, Robert Kirk, Christian Schröder de Witt, Yarin Gal

CoRR, February, 2025

Investigating Non-Transitivity in LLM-as-a-Judge.

Yi Xu, Laura Ruis, Tim Rocktäschel, Robert Kirk

CoRR, February, 2025

Open Problems in Machine Unlearning for AI Safety.

Fazl Barez, Tingchen Fu, Ameya Prabhu, Stephen Casper, Amartya Sanyal, Adel Bibi, Aidan O'Gara, Robert Kirk, Ben Bucknall, Timothy Fist, Luke Ong, Philip Torr, Kwok-Yan Lam, Robert Trager, David Krueger, Sören Mindermann, José Hernández-Orallo, Mor Geva, Yarin Gal

CoRR, January, 2025

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities.

Zora Che, Stephen Casper, Robert Kirk, Anirudh Satheesh, Stewart Slocum, Lev E. McKinney, Rohit Gandikota, Aidan Ewart, Domenic Rosati, Zichu Wu, Zikui Cai, Bilal Chughtai, Yarin Gal, Furong Huang, Dylan Hadfield-Menell

Trans. Mach. Learn. Res., 2025

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwaraknath Gnaneshwar, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Procedural Knowledge in Pretraining Drives Reasoning in Large Language Models.

Laura Ruis, Maximilian Mozes, Juhan Bae, Siddhartha Rao Kamalakara, Dwarak Talupuru, Acyr Locatelli, Robert Kirk, Tim Rocktäschel, Edward Grefenstette, Max Bartolo

CoRR, 2024

Analyzing the Generalization and Reliability of Steering Vectors.

Daniel Tan, David Chanin, Aengus Lynch, Dimitrios Kanoulas, Brooks Paige, Adrià Garriga-Alonso, Robert Kirk

CoRR, 2024

Analysing the Generalisation and Reliability of Steering Vectors.

Daniel Tan, David Chanin, Aengus Lynch, Brooks Paige, Dimitrios Kanoulas, Adrià Garriga-Alonso, Robert Kirk

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalization to New Sequential Decision Making Tasks with In-Context Learning.

Sharath Chandra Raparthy, Eric Hambro, Robert Kirk, Mikael Henaff, Roberta Raileanu

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

Understanding the Effects of RLHF on LLM Generalisation and Diversity.

Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileanu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks.

Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktäschel, Edward Grefenstette, David Scott Krueger

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Reward Model Ensembles Help Mitigate Overoptimization.

Thomas Coste, Usman Anwar, Robert Kirk, David Krueger

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning.

Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel

J. Artif. Intell. Res., 2023

Leading the Pack: N-player Opponent Shaping.

Alexandra Souly, Timon Willi, Akbir Khan, Robert Kirk, Chris Lu, Edward Grefenstette, Tim Rocktäschel

CoRR, 2023

What Mechanisms Does Knowledge Distillation Distill?

Cindy Wu, Ekdeep Singh Lubana, Bruno Kacper Mlodozeniec, Robert Kirk, David Krueger

Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

2022

Domain Generalization for Robust Model-Based Offline Reinforcement Learning.

Alan Clark, Shoaib Ahmed Siddiqui, Robert Kirk, Usman Anwar, Stephen Chung, David Krueger

CoRR, 2022

Graph Backup: Data Efficient Backup Exploiting Markovian Transitions.

Zhengyao Jiang, Tianjun Zhang, Robert Kirk, Tim Rocktäschel, Edward Grefenstette

CoRR, 2022

2021

A Survey of Generalisation in Deep Reinforcement Learning.

Robert Kirk, Amy Zhang, Edward Grefenstette, Tim Rocktäschel

CoRR, 2021

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research.

Mikayel Samvelyan, Robert Kirk, Vitaly Kurin, Jack Parker-Holder, Minqi Jiang, Eric Hambro, Fabio Petroni, Heinrich Küttler, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Insights From the NeurIPS 2021 NetHack Challenge.

Eric Hambro, Sharada P. Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, DaeJin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michal Sypetkowski

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2006

Physicalism and strict implication.

Robert Kirk

Synth., 2006

1996

How physicalists can avoid reductionism.

Robert Kirk

Synth., 1996

1981

A timing verification system based on extracted MOS/VLSI circuit parameters.

Pauline Ng, Wolfram Glauert, Robert Kirk

Proceedings of the 18th Design Automation Conference, 1981

1980

SIDS (A Symbolic Interactive Design System).

Dave Clary, Robert Kirk, Steve Sapiro

Proceedings of the 17th Design Automation Conference, 1980