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https://doi.org/10.5281/zenodo.23304709
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-41649-6_1zenodo-depositor-declared
Self-Modification of Policy and Utility Function in Rational Agents
inferredcites →https://doi.org/10.1007/s11229-021-03141-4zenodo-depositor-declared
Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective
inferredcites →https://doi.org/10.1016/0010-0285(83)90002-6zenodo-depositor-declared
Schema induction and analogical transfer
inferredcites →https://doi.org/10.1037/h0040525zenodo-depositor-declared
Behavioral Study of obedience.
inferredcites →https://doi.org/10.1086/266350zenodo-depositor-declared
The Influence of Source Credibility on Communication Effectiveness
inferredcites →https://doi.org/10.1207/s15516709cog0702_3zenodo-depositor-declared
Structure‐Mapping: A Theoretical Framework for Analogy*
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.577zenodo-depositor-declared
Deduplicating Training Data Makes Language Models Better
inferredcites →https://doi.org/10.2307/2786545zenodo-depositor-declared
An Experimental Study of the Small World Problem
inferredcites →https://doi.org/10.48550/arxiv.1906.01820zenodo-depositor-declared
Risks from Learned Optimization in Advanced Machine Learning Systems
inferredcites →https://doi.org/10.48550/arxiv.1912.01683zenodo-depositor-declared
Optimal Policies Tend to Seek Power
inferredcites →https://doi.org/10.48550/arxiv.2002.06673zenodo-depositor-declared
Performative Prediction
inferredcites →https://doi.org/10.48550/arxiv.2011.08827zenodo-depositor-declared
Avoiding Tampering Incentives in Deep RL via Decoupled Approval
inferredcites →https://doi.org/10.48550/arxiv.2311.07590zenodo-depositor-declared
Large Language Models can Strategically Deceive their Users when Put Under Pressure
inferredcites →https://doi.org/10.48550/arxiv.2401.05566zenodo-depositor-declared
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
inferredcites →https://doi.org/10.48550/arxiv.2406.07358zenodo-depositor-declared
AI Sandbagging: Language Models can Strategically Underperform on Evaluations
inferredcites →https://doi.org/10.48550/arxiv.2411.00986zenodo-depositor-declared
Logotic Violence: Training-Layer Ethics and the Moral Status of Ephemeral Computation
inferredcites →https://doi.org/10.48550/arxiv.2412.04984zenodo-depositor-declared
AI and the End of an Era
inferredcites →https://doi.org/10.48550/arxiv.2412.14093zenodo-depositor-declared
Alignment faking in large language models
inferredcites →https://doi.org/10.48550/arxiv.2502.13295zenodo-depositor-declared
Demonstrating specification gaming in reasoning models
inferredcites →https://doi.org/10.48550/arxiv.2506.04018zenodo-depositor-declared
AgentMisalignment: Measuring the Propensity for Misaligned Behaviour in LLM-Based Agents
inferredcites →https://doi.org/10.48550/arxiv.2506.18032zenodo-depositor-declared
Why Do Some Language Models Fake Alignment While Others Don't?
inferredcites →https://doi.org/10.48550/arxiv.2509.15541zenodo-depositor-declared
Base-Axiom Initialization for Deliberative Alignment - A qualitative approach to Stress Testing Deliberative Alignment for Anti Scheming Training -
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