bias detection

Ceasefire at FIGNEWS 2024 Shared Task: Automated Detection and Annotation of Media Bias Using Large Language Models ACL 2024 ChatGPT Doesn’t Trust Chargers Fans: Guardrail Sensitivity in Context EMNLP 2024 Corpus Development Based on Conflict Structures in the Security Field and LLM Bias Verification EMNLP 2024 Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias NeurIPS 2024 Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models NAACL 2024 Curation of Benchmark Templates for Measuring Gender Bias in Named Entity Recognition Models COLING 2024 Cutting the Black Box: Conceptual Interpretation of a Deep Neural Net with Multi-Modal Embeddings and Multi-Criteria Decision Aid IJCAI 2024 DAIC-WOZ: On the Validity of Using the Therapist’s prompts in Automatic Depression Detection from Clinical Interviews NAACL 2024 Decoding Ableism in Large Language Models: An Intersectional Approach EMNLP 2024 Detecting and Mitigating LGBTQIA+ Bias in Large Norwegian Language Models ACL 2024 Discover and Mitigate Multiple Biased Subgroups in Image Classifiers CVPR 2024 Discovering Biases in Information Retrieval Models Using Relevance Thesaurus as Global Explanation EMNLP 2024 Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender? ACL 2024 DRAGON at FIGNEWS 2024 Shared Task: a Dedicated RAG for October 7th conflict News ACL 2024 Evaluating Gender Bias of LLMs in Making Morality Judgements EMNLP 2024 Examining Gender and Racial Bias in Large Vision–Language Models Using a Novel Dataset of Parallel Images EACL 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 FairBelief - Assessing Harmful Beliefs in Language Models NAACL 2024 FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models NeurIPS 2024 FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating Toxicity in French Texts COLING 2024 Giving Control Back to Models: Enabling Offensive Language Detection Models to Autonomously Identify and Mitigate Biases EMNLP 2024 “Global is Good, Local is Bad?”: Understanding Brand Bias in LLMs EMNLP 2024 GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction ACL 2024 Humans or LLMs as the Judge? A Study on Judgement Bias EMNLP 2024