Responsible AI

SYNFAC-EDIT: Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization EMNLP 2024 Systematic Biases in LLM Simulations of Debates EMNLP 2024 T2VSafetyBench: Evaluating the Safety of Text-to-Video Generative Models NeurIPS 2024 TagDebias: Entity and Concept Tagging for Social Bias Mitigation in Pretrained Language Models NAACL 2024 Teaching LLMs to Abstain across Languages via Multilingual Feedback EMNLP 2024 TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection ACL 2024 Ten Words Only Still Help: Improving Black-Box AI-Generated Text Detection via Proxy-Guided Efficient Re-Sampling IJCAI 2024 The Art of Defending: A Systematic Evaluation and Analysis of LLM Defense Strategies on Safety and Over-Defensiveness ACL 2024 The Butterfly Effect of Altering Prompts: How Small Changes and Jailbreaks Affect Large Language Model Performance ACL 2024 The Earth is Flat because...: Investigating LLMs’ Belief towards Misinformation via Persuasive Conversation ACL 2024 The Ethical Question – Use of Indigenous Corpora for Large Language Models COLING 2024 The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention EMNLP 2024 The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024 The Greatest Good Benchmark: Measuring LLMs’ Alignment with Utilitarian Moral Dilemmas EMNLP 2024 The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts ACL 2024 The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models NeurIPS 2024 The Rise of AI-Generated Content in Wikipedia EMNLP 2024 Thesis Summary: Operationalizing User-Inclusive Transparency in Artificial Intelligence Systems AAAI 2024 The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track NeurIPS 2024 “They are uncultured”: Unveiling Covert Harms and Social Threats in LLM Generated Conversations EMNLP 2024 “Thinking” Fair and Slow: On the Efficacy of Structured Prompts for Debiasing Language Models EMNLP 2024 Thinking Outside of the Differential Privacy Box: A Case Study in Text Privatization with Language Model Prompting EMNLP 2024 This Land is Your, My Land: Evaluating Geopolitical Bias in Language Models through Territorial Disputes NAACL 2024 Thought of Search: Planning with Language Models Through The Lens of Efficiency NeurIPS 2024 THRONE: An Object-based Hallucination Benchmark for the Free-form Generations of Large Vision-Language Models CVPR 2024