Adam X. Yang

According to our database, Adam X. Yang authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

Instruction Tuning With Loss Over Instructions.

Zhengyan Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani

CoRR, 2024

Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries.

Adam Yang, Chen Chen, Konstantinos Pitas

CoRR, 2024

Bayesian Reward Models for LLM Alignment.

Adam X. Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou-Ammar, Laurence Aitchison

CoRR, 2024

Instruction Tuning With Loss Over Instructions.

Zhengxiang Shi, Adam X. Yang, Bin Wu, Laurence Aitchison, Emine Yilmaz, Aldo Lipani

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

Bayesian Low-rank Adaptation for Large Language Models.

Adam X. Yang, Maxime Robeyns, Xi Wang, Laurence Aitchison

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning.

Adam X. Yang, Laurence Aitchison, Henry B. Moss

CoRR, 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

Proceedings of the International Conference on Machine Learning, 2023

2021

Deep Kernel Processes.

Laurence Aitchison, Adam X. Yang, Sebastian W. Ober

Proceedings of the 38th International Conference on Machine Learning, 2021