Yarin Gal

Oxford Research Group — United Kingdom

Computer Science · Physical Sciences

54h-index25.9kcitations325works20.32yr avg
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Research Topics

Adversarial Robustness in Machine Learning(59), Gaussian Processes and Bayesian Inference(51), Machine Learning and Algorithms(48), Machine Learning and Data Classification(48), Domain Adaptation and Few-Shot Learning(39)

Publications325 total

Iterative Deployment Improves Planning Skills in LLMs
ArXiv.org·2025Open Access
Iterative Deployment Improves Planning Skills in LLMs
arXiv (Cornell University)·2025Open Access
The human factor in explainable artificial intelligence: clinician variability in trust, reliance, and performance
npj Digital Medicine·2025· 4 citedOpen Access
Measuring what Matters: Construct Validity in Large Language Model Benchmarks
arXiv (Cornell University)·2025Open Access
Memo: Training Memory-Efficient Embodied Agents with Reinforcement Learning
arXiv (Cornell University)·2025Open Access
A Definition of AGI
arXiv (Cornell University)·2025Open Access
Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
arXiv (Cornell University)·2025· 1 citedOpen Access
Customizable AI systems that anyone can adapt bring big opportunities — and even bigger risks
Nature·2025· 1 citedOpen Access
ToolTweak: An Attack on Tool Selection in LLM-based Agents
arXiv (Cornell University)·2025Open Access
RedCodeAgent: Automatic Red-teaming Agent against Diverse Code Agents
arXiv (Cornell University)·2025Open Access
Stabilizing Policy Gradients for Sample-Efficient Reinforcement Learning in LLM Reasoning
arXiv (Cornell University)·2025Open Access
Sampling Protein Language Models for Functional Protein Design
2025· 1 citedOpen Access
Reasoning Introduces New Poisoning Attacks Yet Makes Them More Complicated
arXiv (Cornell University)·2025Open Access
Measuring large language model uncertainty in women's health using semantic entropy and perplexity: a comparative study
The Lancet Obstetrics Gynaecology & Women s Health·2025Open Access
Scaling Up Active Testing to Large Language Models
arXiv (Cornell University)·2025Open Access
Hybrid Physics-Machine Learning Models for Quantitative Electron Diffraction Refinements
arXiv (Cornell University)·2025Open Access
Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
arXiv (Cornell University)·2025Open Access
Language Models Change Facts Based on the Way You Talk
ArXiv.org·2025Open Access
Accelerating Long-period Exoplanet Discovery by Combining Deep Learning and Citizen Science
The Astronomical Journal·2025Open Access
FindingDory: A Benchmark to Evaluate Memory in Embodied Agents
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Alex Kendall(8), Zoubin Ghahramani(7), Lewis Smith(7), Jan Brauner(5), Sören Mindermann(5), Mrinank Sharma(5), Gavin Leech(5), Pascal Notin(5), Debora S. Marks(5), Joost van Amersfoort(5), Roberto Cipolla(4), Joshua Teperowski Monrad(4), Yee Whye Teh(4), Aidan N. Gomez(4), Rowan McAllister(4), Mark van der Wilk(4), Tomáš Gavenčiak(3), George Altman(3), Alexander John Norman(3), Leonid Chindelevitch(3)