Responsible AI

KoSBI: A Dataset for Mitigating Social Bias Risks Towards Safer Large Language Model Applications ACL 2023 Language-Agnostic Bias Detection in Language Models with Bias Probing EMNLP 2023 Language and Mental Health: Measures of Emotion Dynamics from Text as Linguistic Biosocial Markers EMNLP 2023 Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey EACL 2023 Large Language Models are biased to overestimate profoundness EMNLP 2023 Large Language Models as SocioTechnical Systems EMNLP 2023 Learning Affects Trust: Design Recommendations and Concepts for Teaching Children—and Nearly Anyone—about Conversational Agents AAAI 2023 Learning Preference Model for LLMs via Automatic Preference Data Generation EMNLP 2023 Legally Enforceable Hate Speech Detection for Public Forums EMNLP 2023 Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification IJCAI 2023 LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases EMNLP 2023 Logic Against Bias: Textual Entailment Mitigates Stereotypical Sentence Reasoning EACL 2023 MaNtLE: Model-agnostic Natural Language Explainer EMNLP 2023 Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models ACL 2023 Measuring bias in Instruction-Following models with P-AT EMNLP 2023 Measuring Gender Bias in West Slavic Language Models EACL 2023 MEDFAIR: Benchmarking Fairness for Medical Imaging ICLR 2023 Med-HALT: Medical Domain Hallucination Test for Large Language Models CoNLL 2023 Mirages. On Anthropomorphism in Dialogue Systems EMNLP 2023 Mitigating Societal Harms in Large Language Models EMNLP 2023 Model-Agnostic Gender Debiased Image Captioning CVPR 2023 MoPe: Model Perturbation based Privacy Attacks on Language Models EMNLP 2023 MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions ACL 2023 Moral Mimicry: Large Language Models Produce Moral Rationalizations Tailored to Political Identity ACL 2023 NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark EMNLP 2023