Responsible AI

Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration EMNLP 2024 Assessing Factual Reliability of Large Language Model Knowledge NAACL 2024 Assessing Large Language Models on Climate Information ICML 2024 Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation NeurIPS 2024 A Study of Implicit Ranking Unfairness in Large Language Models EMNLP 2024 A Survey on Detection of LLMs-Generated Content EMNLP 2024 A Synthetic Dataset for Personal Attribute Inference NeurIPS 2024 A Thesis Proposal ClaimInspector Framework: A Hybrid Approach to Data Annotation using Fact-Checked Claims and LLMs EACL 2024 Attack-Aware Noise Calibration for Differential Privacy NeurIPS 2024 Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey NAACL 2024 Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification EMNLP 2024 AudioMarkBench: Benchmarking Robustness of Audio Watermarking NeurIPS 2024 Auditing Local Explanations is Hard NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024 A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks NeurIPS 2024 A Unified Framework and Dataset for Assessing Societal Bias in Vision-Language Models EMNLP 2024 Automated Assessment of Fidelity and Interpretability: An Evaluation Framework for Large Language Models’ Explanations (Student Abstract) AAAI 2024 Automatic Generation of Model and Data Cards: A Step Towards Responsible AI NAACL 2024 Axioms for AI Alignment from Human Feedback NeurIPS 2024 Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs NeurIPS 2024 BaitAttack: Alleviating Intention Shift in Jailbreak Attacks via Adaptive Bait Crafting EMNLP 2024 BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation NAACL 2024 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NeurIPS 2024 Benchmarking Cognitive Biases in Large Language Models as Evaluators ACL 2024 Benchmarking the Attribution Quality of Vision Models NeurIPS 2024