Responsible AI
2,130 papers
Papers per year
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570
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Papers
Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP
ACL 2023
Norm Deviation in Multiagent Systems: A Foundation for Responsible Autonomy
IJCAI 2023
Not The End of Story: An Evaluation of ChatGPT-Driven Vulnerability Description Mappings
ACL 2023
On Measuring Fairness in Generative Models
NeurIPS 2023
On Provable Copyright Protection for Generative Models
ICML 2023
On Second Thought, Let’s Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
ACL 2023
On the Exploitability of Instruction Tuning
NeurIPS 2023
On The Real-world Performance of Machine Translation: Exploring Social Media Post-authors’ Perspectives
ACL 2023
On the Risk of Misinformation Pollution with Large Language Models
EMNLP 2023
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
ICLR 2023
On Transfer of Adversarial Robustness from Pretraining to Downstream Tasks
NeurIPS 2023
PEFTDebias : Capturing debiasing information using PEFTs
EMNLP 2023
Performance and Risk Trade-offs for Multi-word Text Prediction at Scale
EACL 2023
‘Person’ == Light-skinned, Western Man, and Sexualization of Women of Color: Stereotypes in Stable Diffusion
EMNLP 2023
PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
CVPR 2023
Pretraining Language Models with Human Preferences
ICML 2023
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?
NeurIPS 2023
Privacy-Preserving End-to-End Spoken Language Understanding
IJCAI 2023
Privacy Risks in Speech Emotion Recognition: A Systematic Study on Gender Inference Attack
Interspeech 2023
Private Everlasting Prediction
NeurIPS 2023
Prompting GPT-3 To Be Reliable
ICLR 2023
ProPILE: Probing Privacy Leakage in Large Language Models
NeurIPS 2023
Protecting Language Generation Models via Invisible Watermarking
ICML 2023
Proximity-Informed Calibration for Deep Neural Networks
NeurIPS 2023
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
AAAI 2023