Responsible AI

Evaluating Biases in Context-Dependent Sexual and Reproductive Health Questions EMNLP 2024 Evaluating ChatGPT against Functionality Tests for Hate Speech Detection COLING 2024 Evaluating Copyright Takedown Methods for Language Models NeurIPS 2024 Evaluating Gender Bias of LLMs in Making Morality Judgements EMNLP 2024 Evaluating Gender Bias of Pre-trained Language Models in Natural Language Inference by Considering All Labels COLING 2024 Evaluating Large Language Models for Health-related Queries with Presuppositions ACL 2024 Evaluating Moral Beliefs across LLMs through a Pluralistic Framework EMNLP 2024 Evaluating Psychological Safety of Large Language Models EMNLP 2024 Evaluating the Effectiveness of Explainable Artificial Intelligence Approaches (Student Abstract) AAAI 2024 Examining Gender and Racial Bias in Large Vision–Language Models Using a Novel Dataset of Parallel Images EACL 2024 ExpertQA: Expert-Curated Questions and Attributed Answers NAACL 2024 Explaining Language Model Predictions with High-Impact Concepts EACL 2024 Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint) IJCAI 2024 Exploratory Study on the Impact of English Bias of Generative Large Language Models in Dutch and French COLING 2024 Exploring Inherent Biases in LLMs within Korean Social Context: A Comparative Analysis of ChatGPT and GPT-4 NAACL 2024 Exploring the Relationship Between Intrinsic Stigma in Masked Language Models and Training Data Using the Stereotype Content Model COLING 2024 Extrinsic Evaluation of Cultural Competence in Large Language Models EMNLP 2024 Fair and Optimal Prediction via Post-Processing AAAI 2024 Fairer Preferences Elicit Improved Human-Aligned Large Language Model Judgments EMNLP 2024 Fair Machine Unlearning: Data Removal while Mitigating Disparities AISTATS 2024 Fairness-Aware Structured Pruning in Transformers AAAI 2024 Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment AAAI 2024 Fairness without Harm: An Influence-Guided Active Sampling Approach NeurIPS 2024 Fair Off-Policy Learning from Observational Data ICML 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks ICML 2024