Yang, Adam X.

10 publications

ICLR 2024 Bayesian Low-Rank Adaptation for Large Language Models Adam X. Yang, Maxime Robeyns, Xi Wang, Laurence Aitchison

ICLRW 2024 Bayesian Reward Models for LLM Alignment Adam X. Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou Ammar, Laurence Aitchison

ICMLW 2024 Bayesian Reward Models for LLM Alignment Adam X. Yang, Maxime Robeyns, Thomas Coste, Zhengyan Shi, Jun Wang, Haitham Bou Ammar, Laurence Aitchison

NeurIPS 2024 Instruction Tuning with Loss over Instructions Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani

ICMLW 2024 Instruction Tuning with Loss over Instructions Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani

NeurIPSW 2024 Just Rephrase It! Uncertainty Estimation in Closed-Source Language Models via Multiple Rephrased Queries Adam X. Yang, Chen Chen, Konstantinos Pitas

NeurIPSW 2024 Just Rephrase It! Uncertainty Estimation in Closed-Source Language Models via Multiple Rephrased Queries Adam X. Yang, Chen Chen, Konstantinos Pitas

NeurIPSW 2024 Just Rephrase It! Uncertainty Estimation in Closed-Source Language Models via Multiple Rephrased Queries Adam X. Yang, Chen Chen, Konstantinos Pitas

ICMLW 2024 MONGOOSE: Path-Wise Smooth Bayesian Optimisation via Meta-Learning Adam X. Yang, Laurence Aitchison, Henry Moss

ICML 2023 A Theory of Representation Learning Gives a Deep Generalisation of Kernel Methods Adam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison