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Tag: ziegler
Bibliography items where occurs: 19
- The Cambridge Law Corpus: A Corpus for Legal AI Research / 2309.12269 / ISBN:https://doi.org/10.48550/arXiv.2309.12269 / Published by ArXiv / Version released on 2024-01-01 / on (web) Publishing site
- A Survey on Human-AI Collaboration with Large Foundation Models / 2403.04931 / ISBN:https://doi.org/10.48550/arXiv.2403.04931 / Published by ArXiv / Version released on 2025-09-02 / on (web) Publishing site
- AI Alignment: A Comprehensive Survey / 2310.19852 / ISBN:https://doi.org/10.48550/arXiv.2310.19852 / Published by ArXiv / Version released on 2025-04-04 / on (web) Publishing site
- Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback / 2404.10271 / ISBN:https://doi.org/10.48550/arXiv.2404.10271 / Published by ArXiv / Version released on 2024-06-04 / on (web) Publishing site
- On the Creativity of Large Language Models / 2304.00008 / ISBN:https://doi.org/10.48550/arXiv.2304.00008 / Published by ArXiv / Version released on 2024-09-18 / on (web) Publishing site
- Do LLMs Have Political Correctness? Analyzing Ethical Biases and Jailbreak Vulnerabilities in AI Systems / 2410.13334 / ISBN:https://doi.org/10.48550/arXiv.2410.13334 / Published by ArXiv / Version released on 2024-10-23 / on (web) Publishing site
- Large Language Models in Politics and Democracy: A Comprehensive Survey / 2412.04498 / ISBN:https://doi.org/10.48550/arXiv.2412.04498 / Published by ArXiv / Version released on 2024-12-16 / on (web) Publishing site
- Hybrid Approaches for Moral Value Alignment in AI Agents: a Manifesto / 2312.01818 / ISBN:https://doi.org/10.48550/arXiv.2312.01818 / Published by ArXiv / Version released on 2025-01-16 / on (web) Publishing site
- Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety / 2502.05206 / ISBN:https://doi.org/10.48550/arXiv.2502.05206 / Published by ArXiv / Version released on 2025-08-02 / on (web) Publishing site
- Multi-Agent Risks from Advanced AI / 2502.14143 / ISBN:https://doi.org/10.48550/arXiv.2502.14143 / Published by ArXiv / Version released on 2025-02-19 / on (web) Publishing site
- Towards Safer Pretraining: Analyzing and Filtering Harmful Content in Webscale datasets for Responsible LLMs / 2505.02009 / ISBN:https://doi.org/10.48550/arXiv.2505.02009 / Published by ArXiv / Version released on 2025-08-12 / on (web) Publishing site
- Advancing Responsible Innovation in Agentic AI: A study of Ethical Frameworks for Household Automation / 2507.15901 / ISBN:https://doi.org/10.48550/arXiv.2507.15901 / Published by ArXiv / Version released on 2025-07-21 / on (web) Publishing site
- The Fair Game: Auditing & Debiasing AI Algorithms Over Time / 2508.06443 / ISBN:https://doi.org/10.48550/arXiv.2508.06443 / Published by ArXiv / Version released on 2025-08-08 / on (web) Publishing site
- A Comprehensive Review of Datasets for Clinical Mental Health AI Systems / 2508.09809 / ISBN:https://doi.org/10.48550/arXiv.2508.09809 / Published by ArXiv / Version released on 2025-08-18 / on (web) Publishing site
- CAI Fluency: A Framework for Cybersecurity AI Fluency / 2508.13588 / ISBN:https://doi.org/10.48550/arXiv.2508.13588 / Published by ArXiv / Version released on 2025-10-07 / on (web) Publishing site
- Towards Enhancing Data Equity in Public Health Data Science / 2508.20301 / ISBN:https://doi.org/10.48550/arXiv.2508.20301 / Published by ArXiv / Version released on 2025-08-27 / on (web) Publishing site
- Between a Rock and a Hard Place: Exploiting Ethical Reasoning to Jailbreak LLMs / 2509.05367 / ISBN:https://doi.org/10.48550/arXiv.2509.05367 / Published by ArXiv / Version released on 2025-09-12 / on (web) Publishing site
- Evaluating the Clinical Safety of LLMs in Response to High-Risk Mental Health Disclosures / 2509.08839 / ISBN:https://doi.org/10.48550/arXiv.2509.08839 / Published by ArXiv / Version released on 2025-09-01 / on (web) Publishing site
- TVS Sidekick: Challenges and Practical Insights from Deploying Large Language Models in the Enterprise / 2509.26482 / ISBN:https://doi.org/10.48550/arXiv.2509.26482 / Published by ArXiv / Version released on 2025-09-30 / on (web) Publishing site