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Tag: raffel

Bibliography items where occurs: 23
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


The Journey to Trustworthy AI- Part 1 Pursuit of Pragmatic Frameworks / 2403.15457 / ISBN:https://doi.org/10.48550/arXiv.2403.15457 / Published by ArXiv / Version released on 2024-04-06 / on (web) Publishing site


A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law / 2405.01769 / ISBN:https://doi.org/10.48550/arXiv.2405.01769 / Published by ArXiv / Version released on 2024-11-21 / on (web) Publishing site


Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models / 2406.00628 / ISBN:https://doi.org/10.48550/arXiv.2406.00628 / Published by ArXiv / Version released on 2024-06-02 / on (web) Publishing site


The Impact of AI on Academic Research and Publishing / 2406.06009 / Published by ArXiv / Version released on 2024-06-10 / on (web) Publishing site


Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework / 2303.11196 / ISBN:https://doi.org/10.48550/arXiv.2303.11196 / Published by ArXiv / Version released on 2024-07-15 / on (web) Publishing site


The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources / 2406.16746 / ISBN:https://doi.org/10.48550/arXiv.2406.16746 / Published by ArXiv / Version released on 2024-09-03 / 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


Decoding Large-Language Models: A Systematic Overview of Socio-Technical Impacts, Constraints, and Emerging Questions / 2409.16974 / ISBN:https://doi.org/10.48550/arXiv.2409.16974 / Published by ArXiv / Version released on 2024-09-25 / on (web) Publishing site


FairT2I: Mitigating Social Bias in Text-to-Image Generation via Large Language Model-Assisted Detection and Attribute Rebalancing / 2502.03826 / ISBN:https://doi.org/10.48550/arXiv.2502.03826 / Published by ArXiv / Version released on 2025-08-15 / on (web) Publishing site


On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective / 2502.14296 / ISBN:https://doi.org/10.48550/arXiv.2502.14296 / Published by ArXiv / Version released on 2025-09-30 / on (web) Publishing site


Surgical Scene Understanding in the Era of Foundation AI Models: A Comprehensive Review / 2502.14886 / ISBN:https://doi.org/10.48550/arXiv.2502.14886 / Published by ArXiv / Version released on 2025-11-03 / on (web) Publishing site


Comprehensive Analysis of Transparency and Accessibility of ChatGPT, DeepSeek, And other SoTA Large Language Models / 2502.18505 / ISBN:https://doi.org/10.48550/arXiv.2502.18505 / Published by ArXiv / Version released on 2025-02-21 / 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


When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance / 2507.07748 / ISBN:https://doi.org/10.48550/arXiv.2507.07748 / Published by ArXiv / Version released on 2025-07-10 / on (web) Publishing site


The AI Ethical Resonance Hypothesis: The Possibility of Discovering Moral Meta-Patterns in AI Systems / 2507.11552 / ISBN:https://doi.org/10.48550/arXiv.2507.11552 / Published by ArXiv / Version released on 2025-07-13 / 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


Psychometric Personality Shaping Modulates Capabilities and Safety in Language Models / 2509.16332 / ISBN:https://doi.org/10.48550/arXiv.2509.16332 / Published by ArXiv / Version released on 2025-09-19 / on (web) Publishing site


Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development / 2511.20623 / ISBN:https://doi.org/10.48550/arXiv.2511.20623 / Published by ArXiv / Version released on 2025-11-25 / on (web) Publishing site


Guardrails for trust, safety, and ethical development and deployment of Large Language Models (LLM) / 2601.14298 / ISBN:https://doi.org/10.48550/arXiv.2601.14298 / Published by ArXiv / Version released on 2026-01-16 / on (web) Publishing site


Disclose with Care: Designing Privacy Controls in Interview Chatbots / 2602.01387 / ISBN:https://doi.org/10.48550/arXiv.2602.01387 / Published by ArXiv / Version released on 2026-02-01 / on (web) Publishing site


A Human-Centered Privacy Approach (HCP) to AI / 2602.04616 / ISBN:https://doi.org/10.48550/arXiv.2602.04616 / Published by ArXiv / Version released on 2026-02-04 / on (web) Publishing site


Reliable and Responsible Foundation Models: A Comprehensive Survey / 2602.08145 / ISBN:https://doi.org/10.48550/arXiv.2602.08145 / Published by ArXiv / Version released on 2026-02-04 / on (web) Publishing site