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Francis Rhys Ward

Geometric Deep Learning for Post-Menstrual Age Prediction Based on the Neonatal White Matter Cortical Surface
2020 · Vitalis Vosylius, Andy Wang, et al. · Lecture notes in computer science · 18
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An Assurance Case Pattern for the Interpretability of Machine Learning in Safety-Critical Systems
2020 · Francis Rhys Ward, Ibrahim Habli · Lecture notes in computer science · 18
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Towards a Theory of AI Personhood
2025 · Francis Rhys Ward · Proceedings of the AAAI Conference on Artificial Intelligence · 7
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AI Sandbagging: Language Models can Strategically Underperform on Evaluations
2024 · van der Weij, Teun, Hofstätter, Felix, et al. · arXiv (Cornell University) · 5
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Honesty Is the Best Policy: Defining and Mitigating AI Deception
2023 · Francis Ward, Francesca Toni, et al. · neural information processing systems · 4
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The Reasons that Agents Act: Intention and Instrumental Goals
2024 · Francis Rhys Ward, Matt MacDermott, et al. · Adaptive Agents and Multi-Agents Systems · 3
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Evaluating Language Model Character Traits
2024 · Francis Rhys Ward, Zejia Yang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Defining Deception in Structural Causal Games
2023 · Francis Rhys Ward, Francesca Toni, et al. · Adaptive Agents and Multi-Agents Systems · 1
Argumentative Reward Learning: Reasoning About Human Preferences
2022 · Ward, Francis Rhys, Belardinelli, Francesco, et al. · arXiv (Cornell University) · 1
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Towards Robust Model Organisms for Eliciting Latent Knowledge
2026 · Finke, Lennart, Bhatnagar, Hardik, et al. · arXiv (Cornell University)
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Safety from Honesty in a Disinterested AI Predictor
2026 · Bengio, Yoshua, Richardson, Oliver, et al. · arXiv (Cornell University)
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The Impossibility of Eliciting Latent Knowledge
2026 · Friedl, Korbinian, Ward, Francis Rhys, et al. · arXiv (Cornell University)
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Think Fast: Estimating No-CoT Task-Completion Time Horizons of Frontier AI Models
2026 · Gould, Dewi, Ward, Francis Rhys, et al. · arXiv (Cornell University)
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How does information access affect LLM monitors' ability to detect sabotage?
2026 · Arike, Rauno, Moreno, Raja Mehta, et al. · arXiv (Cornell University)
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Password-Activated Shutdown Protocols for Misaligned Frontier Agents
2025 · Williams, Kai, Subramani, Rohan, et al. · arXiv (Cornell University)
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Ai-driven Education: Opportunities, Risks, and the Path Forward
2025 · Judita Tomaskinova, Darina Scully, et al. · ICERI proceedings
Higher-Order Belief in Incomplete Information MAIDs
2025 · Jack Foxabbott, Rohan Subramani, et al. · Adaptive Agents and Multi-Agents Systems
The Elicitation Game: Evaluating Capability Elicitation Techniques
2025 · Hofstätter, Felix, van der Weij, Teun, et al. · arXiv (Cornell University)
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CTRL-ALT-DECEIT Sabotage Evaluations for Automated AI R&D
2025 · Francis Ward, Teun van der Weij, et al. · neural information processing systems
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Evaluating Language Model Character Traits
2024 · Ward, Francis Rhys, Yang, Zejia, et al. · arXiv (Cornell University)
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Experiments with Detecting and Mitigating AI Deception
2023 · Sahbane, Ismail, Ward, Francis Rhys, et al. · arXiv (Cornell University)
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On Agent Incentives to Manipulate Human Feedback in Multi-Agent Reward Learning Scenarios
2022 · Francis Rhys Ward, Francesca Toni, et al. · Adaptive Agents and Multi-Agents Systems
Works count: 24
Citation count: 58
H-index: 4
I10-index: 2
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