Responsible AI
2,130 papers
Papers per year
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Papers
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
CVPR 2024
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
ICLR 2024
Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models
ACL 2024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
NeurIPS 2024
Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation
ICLR 2024
Catch Me If You GPT: Tutorial on Deepfake Texts
NAACL 2024
CAVA: A Tool for Cultural Alignment Visualization & Analysis
EMNLP 2024
CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models
ACL 2024
Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies
ACL 2024
ChatGPT Doesn’t Trust Chargers Fans: Guardrail Sensitivity in Context
EMNLP 2024
ChatGPT Rates Natural Language Explanation Quality like Humans: But on Which Scales?
COLING 2024
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences
ACL 2024
Circumventing Concept Erasure Methods For Text-To-Image Generative Models
ICLR 2024
Citation: A Key to Building Responsible and Accountable Large Language Models
NAACL 2024
CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
NeurIPS 2024
CMD: a framework for Context-aware Model self-Detoxification
EMNLP 2024
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
ACL 2024
Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers
AAAI 2024
Cognitive Bias in Decision-Making with LLMs
EMNLP 2024
Combating Security and Privacy Issues in the Era of Large Language Models
NAACL 2024
Comparative Study of Explainability Methods for Legal Outcome Prediction
EMNLP 2024
Composite Backdoor Attacks Against Large Language Models
NAACL 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
NeurIPS 2024
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
NAACL 2024
Consent in Crisis: The Rapid Decline of the AI Data Commons
NeurIPS 2024