Daniel Tan

According to our database, Daniel Tan authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

Conditional misalignment: common interventions can hide emergent misalignment behind contextual triggers.

Jan Dubinski, Jan Betley, Anna Sztyber-Betley, Daniel Tan, Owain Evans

CoRR, April, 2026

eGAIT: Multi-Skilled Policy for Energy-Efficient Gait Transitions.

Maria Stamatopoulou, Daniel Tan, Rokas Bendikas, Valerio Modugno, Zhibin Li, Dimitrios Kanoulas

IEEE Trans Autom. Sci. Eng., 2026

Training large language models on narrow tasks can lead to broad misalignment.

Jan Betley, Niels Warncke, Anna Sztyber-Betley, Daniel Tan, Xuchan Bao, Martín Soto, Megha Srivastava, Nathan Labenz

Nat., 2026

Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint).

Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models.

Jan Wehner, Sahar Abdelnabi, Daniel Tan, David Krueger, Mario Fritz

Trans. Mach. Learn. Res., 2025

Towards Generalist Robot Learning from Internet Video: A Survey.

Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li

J. Artif. Intell. Res., 2025

Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs.

Jan Betley, Daniel Chee Hian Tan, Niels Warncke, Anna Sztyber-Betley, Xuchan Bao, Martín Soto, Nathan Labenz, Owain Evans

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Safe Value Functions: Learned Critics as Hard Safety Constraints.

Daniel Chee Hian Tan, Robert McCarthy, Fernando Acero, Andromachi Maria Delfaki, Zhibin Li, Dimitrios Kanoulas

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2023

Value Functions are Control Barrier Functions: Verification of Safe Policies using Control Theory.

Daniel Chee Hian Tan, Fernando Acero, Robert McCarthy, Dimitrios Kanoulas, Zhibin Li

CoRR, 2023

Perceptive Locomotion with Controllable Pace and Natural Gait Transitions Over Uneven Terrains.

Daniel Chee Hian Tan, Jenny Zhang, Meng Yee Michael Chuah, Zhibin Li

CoRR, 2023