{"total":35,"rows":[{"id":"2504.04377","title":"PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages","created":"2025-04-06","cited_by_count":59,"area":null},{"id":"2505.03989","title":"An alignment safety case sketch based on debate","created":"2025-05-06","cited_by_count":16,"area":null},{"id":"2506.20702","title":"The Singapore Consensus on Global AI Safety Research Priorities","created":"2025-06-25","cited_by_count":10,"area":null},{"id":"2509.09495","title":"OpenFake: An Open Dataset and Platform Toward Real-World Deepfake Detection","created":"2025-09-11","cited_by_count":10,"area":null},{"id":"2505.00036","title":"A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies","created":"2025-04-29","cited_by_count":9,"area":null},{"id":"2505.21828","title":"SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts","created":"2025-05-27","cited_by_count":8,"area":null},{"id":"2512.22154","title":"Practical challenges of control monitoring in frontier AI deployments","created":"2025-12-15","cited_by_count":8,"area":null},{"id":"2606.17930","title":"How Inference Compute Shapes Frontier LLM Evaluation","created":"2026-06-16","cited_by_count":7,"area":null},{"id":"2502.11895","title":"Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models?","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2504.08016","title":"Emergence of psychopathological computations in large language models","created":"2025-04-10","cited_by_count":4,"area":null},{"id":"2511.05613","title":"Who Evaluates AI's Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations","created":"2025-11-06","cited_by_count":4,"area":null},{"id":"2606.12683","title":"From AGI to ASI","created":"2026-06-10","cited_by_count":4,"area":null},{"id":"2502.16841","title":"Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2503.20848","title":"The Backfiring Effect of Weak AI Safety Regulation","created":"2025-03-26","cited_by_count":3,"area":null},{"id":"2509.02650","title":"Can Media Act as a Soft Regulator of Safe AI Development? A Game Theoretical Analysis","created":"2025-09-02","cited_by_count":3,"area":null},{"id":"2512.00742","title":"On the Regulatory Potential of User Interfaces for AI Agent Governance","created":"2025-11-30","cited_by_count":3,"area":null},{"id":"2506.16150","title":"PRISON: Unmasking the Criminal Potential of Large Language Models","created":"2025-06-19","cited_by_count":2,"area":null},{"id":"2510.23389","title":"Floating-Point Neural Network Verification at the Software Level","created":"2025-10-27","cited_by_count":2,"area":null},{"id":"2505.10719","title":"Tracr-Injection: Distilling Algorithms into Pre-trained Language Models","created":"2025-05-15","cited_by_count":1,"area":null},{"id":"2509.10682","title":"LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems","created":"2025-09-12","cited_by_count":1,"area":null},{"id":"2601.23094","title":"Safer Policy Compliance with Dynamic Epistemic Fallback","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2605.03255","title":"Do LLMs have core beliefs?","created":"2026-05-05","cited_by_count":1,"area":null},{"id":"2608.07705","title":"Protecting patient privacy in clinical foundation models: Technical and legal perspectives","created":"2026-08-07","cited_by_count":1,"area":null},{"id":"2503.00224","title":"\\`A la recherche du sens perdu: your favourite LLM might have more to say than you can understand","created":"2025-02-28","cited_by_count":0,"area":null},{"id":"2504.00091","title":"A First-Principles Based Risk Assessment Framework and the IEEE P3396 Standard","created":"2025-03-31","cited_by_count":0,"area":null},{"id":"2504.11564","title":"Perceptions of Agentic AI in Organizations: Implications for Responsible AI and ROI","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2506.04513","title":"Pruning Everything, Everywhere, All at Once","created":"2025-06-04","cited_by_count":0,"area":null},{"id":"2506.17558","title":"SynDaCaTE: A Synthetic Dataset For Evaluating Part-Whole Hierarchical Inference","created":"2025-06-21","cited_by_count":0,"area":null},{"id":"2509.21654","title":"Limitations on Accurate, Trusted, Human-level Reasoning","created":"2025-09-25","cited_by_count":0,"area":null},{"id":"2604.19811","title":"Model Capability Assessment and Safeguards for Biological Weaponization","created":"2026-04-15","cited_by_count":0,"area":null},{"id":"2606.26968","title":"RedVox: Safety and Fairness Gaps in Speech Models Across Languages","created":"2026-06-25","cited_by_count":0,"area":null},{"id":"2607.07035","title":"On the Principles of Deep Feedforward ReLU Networks","created":"2026-07-08","cited_by_count":0,"area":null},{"id":"2607.14353","title":"Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2607.28904","title":"Design Concept: Scaffolding Geopolitical Reflection Among Tech Workers","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2610.10232","title":"LLM Persuasion Is in the Eye of the Evaluation","created":"2026-10-07","cited_by_count":0,"area":null}],"next_cursor":null}