Showing 1–17 of 17 results
/ Date/ Name
Dec 12, 2023SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language ModelsMar 9, 2024Detectors for Safe and Reliable LLMs: Implementations, Uses, and LimitationsNov 18, 2019Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost TherapiesAug 3, 2021Your fairness may vary: Pretrained language model fairness in toxic text classificationMay 22, 2023Keeping Up with the Language Models: Systematic Benchmark Extension for Bias AuditingJun 9, 2024Why Don't Prompt-Based Fairness Metrics Correlate?Mar 8, 2024Alignment Studio: Aligning Large Language Models to Particular Contextual RegulationsApr 9, 2021Automated Meta-Analysis: A Causal Learning PerspectiveMar 9, 2022Downstream Fairness Caveats with Synthetic Healthcare DataDec 7, 2021Ground-Truth, Whose Truth? -- Examining the Challenges with Annotating Toxic Text DatasetsNov 15, 2023Subtle Misogyny Detection and Mitigation: An Expert-Annotated DatasetSep 8, 2019How Data Scientists Work Together With Domain Experts in Scientific Collaborations: To Find The Right Answer Or To Ask The Right Question?May 8, 2022Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model RecommendationsJul 16, 2018Teaching machines to understand data science code by semantic enrichment of dataflow graphsJun 10, 2017Serverless Computing: Current Trends and Open ProblemsDec 24, 2023Fairness-Aware Structured Pruning in TransformersJun 17, 2021Biomedical Interpretable Entity Representations