Responsible AI
2,130 papers
Papers per year
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Papers
MACE: Mass Concept Erasure in Diffusion Models
CVPR 2024
Machine Unlearning of Pre-trained Large Language Models
ACL 2024
MAGE: Machine-generated Text Detection in the Wild
ACL 2024
Making Harmful Behaviors Unlearnable for Large Language Models
ACL 2024
MarkLLM: An Open-Source Toolkit for LLM Watermarking
EMNLP 2024
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
NAACL 2024
Mathematical Framework for Online Social Media Auditing
JMLR 2024
MBIAS: Mitigating Bias in Large Language Models While Retaining Context
ACL 2024
Measuring Political Bias in Large Language Models: What Is Said and How It Is Said
ACL 2024
Media Bias Detection Across Families of Language Models
NAACL 2024
MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models
NeurIPS 2024
MemeGuard: An LLM and VLM-based Framework for Advancing Content Moderation via Meme Intervention
ACL 2024
Merging AI Incidents Research with Political Misinformation Research: Introducing the Political Deepfakes Incidents Database
AAAI 2024
MICo: Preventative Detoxification of Large Language Models through Inhibition Control
NAACL 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
EMNLP 2024
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering
NAACL 2024
MisinfoEval: Generative AI in the Era of “Alternative Facts”
EMNLP 2024
Mission Impossible: A Statistical Perspective on Jailbreaking LLMs
NeurIPS 2024
Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment
EMNLP 2024
Mitigating Hallucination in Fictional Character Role-Play
EMNLP 2024
Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-Based Retrofitting
AAAI 2024
Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching
ACL 2024
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
NeurIPS 2024
Modeling the Sacred: Considerations when Using Religious Texts in Natural Language Processing
NAACL 2024
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch
EMNLP 2024