Chan, Alex James

8 publications

ICLRW 2025 LM2: Large Memory Models for Long Context Reasoning Jikun Kang, Wenqi Wu, Filippos Christianos, Alex James Chan, Fraser David Greenlee, George Thomas, Marvin Purtorab, Andrew Toulis

ICLRW 2024 Actions Speak Louder than Words: Superficial Fairness Alignment in LLMs Qiyao Wei, Alex James Chan, Lea Goetz, David Watson, Mihaela van der Schaar

ICML 2024 Dense Reward for Free in Reinforcement Learning from Human Feedback Alex James Chan, Hao Sun, Samuel Holt, Mihaela Van Der Schaar

ICMLW 2024 Discovering Preference Optimization Algorithms with and for Large Language Models Chris Lu, Samuel Holt, Claudio Fanconi, Alex James Chan, Jakob Nicolaus Foerster, Mihaela van der Schaar, Robert Tjarko Lange

ICLR 2024 How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions Lorenzo Pacchiardi, Alex James Chan, Sören Mindermann, Ilan Moscovitz, Alexa Yue Pan, Yarin Gal, Owain Evans, Jan M. Brauner

DMLR 2024 When Is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? a Data-Centric Perspective Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar

ICLR 2021 Generative Time-Series Modeling with Fourier Flows Ahmed Alaa, Alex James Chan, Mihaela van der Schaar

ICLR 2021 Scalable Bayesian Inverse Reinforcement Learning Alex James Chan, Mihaela van der Schaar