conftrace_

responsible ai

182 papers

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Co-occurring keywords

large language model (13587) ai safety (235) bias detection (419) bias mitigation (500) natural language processing (2034) language model (4599) ai ethics (29) text classification (6793) diffusion model (3751) value alignment (91)

Papers

Do LLMs Know to Respect Copyright Notice? EMNLP 2024
Evaluating Moral Beliefs across LLMs through a Pluralistic Framework EMNLP 2024
Performative Ethics From Within the Ivory Tower: How CSPractitioners Uphold Systems of Oppression (Abstract Reprint) IJCAI 2024
Towards Responsible Speech Processing INTERSPEECH 2024
Beyond Binary: Towards Embracing Complexities in Cyberbullying Detection and Intervention - a Position Paper COLING 2024
The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track NIPS 2024
Alignment for Honesty NIPS 2024
Data-mining and Extraction: the gold rush of AI on Indigenous Languages EACL 2024
HonestLLM: Toward an Honest and Helpful Large Language Model NIPS 2024
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models CVPR 2024
ProgressGym: Alignment with a Millennium of Moral Progress NIPS 2024
Citation: A Key to Building Responsible and Accountable Large Language Models NAACL 2024
T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models NIPS 2024
The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce Harm EMNLP 2024
ORES: Open-Vocabulary Responsible Visual Synthesis AAAI 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation CVPR 2024
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models ACL 2024
Adventures of Trustworthy Vision-Language Models: A Survey AAAI 2024
CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models ACL 2024
Subtle Biases Need Subtler Measures: Dual Metrics for Evaluating Representative and Affinity Bias in Large Language Models ACL 2024
Investigating Ableism in LLMs through Multi-turn Conversation EMNLP 2024
Aligners: Decoupling LLMs and Alignment EMNLP 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models EMNLP 2024
ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models EMNLP 2024
“Global is Good, Local is Bad?”: Understanding Brand Bias in LLMs EMNLP 2024