{"total":73,"rows":[{"id":"2212.13138","title":"Large Language Models Encode Clinical Knowledge","created":"2022-12-26","cited_by_count":1830,"area":null},{"id":"2201.08239","title":"LaMDA: Language Models for Dialog Applications","created":"2022-01-20","cited_by_count":1220,"area":null},{"id":"2304.05335","title":"Toxicity in ChatGPT: Analyzing Persona-assigned Language Models","created":"2023-04-11","cited_by_count":360,"area":null},{"id":"2212.04612","title":"Training Data Influence Analysis and Estimation: A Survey","created":"2022-12-09","cited_by_count":135,"area":null},{"id":"2302.12254","title":"Change is Hard: A Closer Look at Subpopulation Shift","created":"2023-02-23","cited_by_count":120,"area":null},{"id":"2110.05006","title":"Pre-trained Language Models in Biomedical Domain: A Systematic Survey","created":"2021-10-11","cited_by_count":87,"area":null},{"id":"2205.02526","title":"Theories of \"Gender\" in NLP Bias Research","created":"2022-05-05","cited_by_count":62,"area":null},{"id":"2312.15524","title":"The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective","created":"2023-12-24","cited_by_count":59,"area":null},{"id":"2203.12609","title":"Improving the Fairness of Chest X-ray Classifiers","created":"2022-03-23","cited_by_count":52,"area":null},{"id":"2306.11547","title":"Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events","created":"2023-06-20","cited_by_count":46,"area":null},{"id":"2202.08011","title":"Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks","created":"2022-02-16","cited_by_count":36,"area":null},{"id":"2206.15076","title":"BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing","created":"2022-06-30","cited_by_count":36,"area":null},{"id":"2105.00827","title":"AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models","created":"2021-04-16","cited_by_count":32,"area":null},{"id":"2306.08158","title":"Sociodemographic Bias in Language Models: A Survey and Forward Path","created":"2023-06-13","cited_by_count":28,"area":null},{"id":"2502.15871","title":"A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare","created":"2025-02-21","cited_by_count":27,"area":null},{"id":"2109.13006","title":"RuleBert: Teaching Soft Rules to Pre-trained Language Models","created":"2021-09-24","cited_by_count":25,"area":null},{"id":"2106.02524","title":"CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes","created":"2021-06-04","cited_by_count":20,"area":null},{"id":"2205.03931","title":"Write It Like You See It: Detectable Differences in Clinical Notes By Race Lead To Differential Model Recommendations","created":"2022-05-08","cited_by_count":20,"area":null},{"id":"2307.00067","title":"Transformers in Healthcare: A Survey","created":"2023-06-30","cited_by_count":17,"area":null},{"id":"2108.01764","title":"Q-Pain: A Question Answering Dataset to Measure Social Bias in Pain Management","created":"2021-08-03","cited_by_count":16,"area":null},{"id":"2102.06761","title":"MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset","created":"2021-02-12","cited_by_count":15,"area":null},{"id":"2302.12343","title":"CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models","created":"2023-02-23","cited_by_count":15,"area":null},{"id":"2212.01669","title":"A Survey on Medical Document Summarization","created":"2022-12-03","cited_by_count":14,"area":null},{"id":"2410.16498","title":"Natural Language Processing for Human Resources: A Survey","created":"2024-10-21","cited_by_count":10,"area":null},{"id":"2505.09056","title":"A Comprehensive Analysis of Large Language Model Outputs: Similarity, Diversity, and Bias","created":"2025-05-14","cited_by_count":10,"area":null},{"id":"2305.11348","title":"In the Name of Fairness: Assessing the Bias in Clinical Record De-identification","created":"2023-05-18","cited_by_count":9,"area":null},{"id":"2104.06338","title":"On the Impact of Random Seeds on the Fairness of Clinical Classifiers","created":"2021-04-13","cited_by_count":8,"area":null},{"id":"2204.10365","title":"Towards an Enhanced Understanding of Bias in Pre-trained Neural Language Models: A Survey with Special Emphasis on Affective Bias","created":"2022-04-21","cited_by_count":8,"area":null},{"id":"2302.07371","title":"BiasTestGPT: Using ChatGPT for Social Bias Testing of Language Models","created":"2023-02-14","cited_by_count":8,"area":null},{"id":"2310.08795","title":"Mitigating Bias for Question Answering Models by Tracking Bias Influence","created":"2023-10-13","cited_by_count":8,"area":null},{"id":"2205.05093","title":"Richer Countries and Richer Representations","created":"2022-05-10","cited_by_count":7,"area":null},{"id":"2305.12622","title":"Evaluating the Impact of Social Determinants on Health Prediction in the Intensive Care Unit","created":"2023-05-22","cited_by_count":7,"area":null},{"id":"2108.12510","title":"Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing","created":"2021-08-27","cited_by_count":6,"area":null},{"id":"2111.15512","title":"What Do You See in this Patient? Behavioral Testing of Clinical NLP Models","created":"2021-11-30","cited_by_count":6,"area":null},{"id":"2208.06648","title":"Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness","created":"2022-08-13","cited_by_count":6,"area":null},{"id":"2111.08711","title":"Two-step adversarial debiasing with partial learning -- medical image case-studies","created":"2021-11-16","cited_by_count":5,"area":null},{"id":"2402.08250","title":"A survey of recent methods for addressing AI fairness and bias in biomedicine","created":"2024-02-13","cited_by_count":5,"area":null},{"id":"2407.21058","title":"Understanding the Interplay of Scale, Data, and Bias in Language Models: A Case Study with BERT","created":"2024-07-25","cited_by_count":5,"area":null},{"id":"2201.06224","title":"Unintended Bias in Language Model-driven Conversational Recommendation","created":"2022-01-17","cited_by_count":4,"area":null},{"id":"2403.04858","title":"Evaluating Biases in Context-Dependent Health Questions","created":"2024-03-07","cited_by_count":4,"area":null},{"id":"2410.13868","title":"Stars, Stripes, and Silicon: Unravelling the ChatGPT's All-American, Monochrome, Cis-centric Bias","created":"2024-10-02","cited_by_count":4,"area":null},{"id":"2103.05841","title":"Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance","created":"2021-03-10","cited_by_count":3,"area":null},{"id":"2111.05431","title":"Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers","created":"2021-11-09","cited_by_count":3,"area":null},{"id":"2202.03078","title":"Fair Interpretable Representation Learning with Correction Vectors","created":"2022-02-07","cited_by_count":3,"area":null},{"id":"2303.15592","title":"Uncovering Bias in Personal Informatics","created":"2023-03-27","cited_by_count":3,"area":null},{"id":"2306.01970","title":"Temporal-spatial Correlation Attention Network for Clinical Data Analysis in Intensive Care Unit","created":"2023-06-03","cited_by_count":3,"area":null},{"id":"2507.16557","title":"Exploring Gender Bias in Large Language Models: An In-depth Dive into the German Language","created":"2025-07-22","cited_by_count":3,"area":null},{"id":"2605.03998","title":"EQUITRIAGE: A Fairness Audit of Gender Bias in LLM-Based Emergency Department Triage","created":"2026-05-05","cited_by_count":3,"area":null},{"id":"2208.01341","title":"Gender bias in (non)-contextual clinical word embeddings for stereotypical medical categories","created":"2022-08-02","cited_by_count":2,"area":null},{"id":"2305.02474","title":"MLHOps: Machine Learning for Healthcare Operations","created":"2023-05-04","cited_by_count":2,"area":null},{"id":"2405.20582","title":"The Point of View of a Sentiment: Towards Clinician Bias Detection in Psychiatric Notes","created":"2024-05-31","cited_by_count":2,"area":null},{"id":"2202.03907","title":"Context-Aware Discrimination Detection in Job Vacancies using Computational Language Models","created":"2022-02-02","cited_by_count":1,"area":null},{"id":"2212.07852","title":"The effects of gender bias in word embeddings on depression prediction","created":"2022-12-15","cited_by_count":1,"area":null},{"id":"2311.08472","title":"Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models","created":"2023-11-14","cited_by_count":1,"area":null},{"id":"2311.12560","title":"Benchmarking bias: Expanding clinical AI model card to incorporate bias reporting of social and non-social factors","created":"2023-11-21","cited_by_count":1,"area":null},{"id":"2402.16458","title":"ID-XCB: Data-independent Debiasing for Fair and Accurate Transformer-based Cyberbullying Detection","created":"2024-02-26","cited_by_count":1,"area":null},{"id":"2411.10544","title":"Debias-CLR: A Contrastive Learning Based Debiasing Method for Algorithmic Fairness in Healthcare Applications","created":"2024-11-15","cited_by_count":1,"area":null},{"id":"2412.16406","title":"Learning Disease Progression Models That Capture Health Disparities","created":"2024-12-20","cited_by_count":1,"area":null},{"id":"2502.00025","title":"Explainable AI for Mental Health Emergency Returns: Integrating LLMs with Predictive Modeling","created":"2025-01-21","cited_by_count":1,"area":null},{"id":"2502.16477","title":"Unmasking Societal Biases in Respiratory Support for ICU Patients through Social Determinants of Health","created":"2025-02-23","cited_by_count":1,"area":null},{"id":"2606.14506","title":"Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias","created":"2026-06-12","cited_by_count":1,"area":null},{"id":"2206.14397","title":"Fair Machine Learning in Healthcare: A Review","created":"2022-06-29","cited_by_count":0,"area":null},{"id":"2211.08742","title":"Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN","created":"2022-11-16","cited_by_count":0,"area":null},{"id":"2305.10201","title":"Echoes of Biases: How Stigmatizing Language Affects AI Performance","created":"2023-05-17","cited_by_count":0,"area":null},{"id":"2305.12671","title":"Transferring Fairness using Multi-Task Learning with Limited Demographic Information","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2310.10571","title":"Emerging Challenges in Personalized Medicine: Assessing Demographic Effects on Biomedical Question Answering Systems","created":"2023-10-16","cited_by_count":0,"area":null},{"id":"2312.17624","title":"XAI for In-hospital Mortality Prediction via Multimodal ICU Data","created":"2023-12-29","cited_by_count":0,"area":null},{"id":"2405.05204","title":"CARE-SD: Classifier-based analysis for recognizing and eliminating stigmatizing and doubt marker labels in electronic health records: model development and validation","created":"2024-05-08","cited_by_count":0,"area":null},{"id":"2408.00612","title":"Downstream bias mitigation is all you need","created":"2024-08-01","cited_by_count":0,"area":null},{"id":"2506.20471","title":"Probing AI Safety with Source Code","created":"2025-06-25","cited_by_count":0,"area":null},{"id":"2507.08969","title":"Application of CARE-SD text classifier tools to assess distribution of stigmatizing and doubt-marking language features in EHR","created":"2025-07-11","cited_by_count":0,"area":null},{"id":"2605.26433","title":"Vectors Are Not Neutral: Sensitive-Information Inference from Exported LLM Representations in Summarization","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2608.15719","title":"PLeDO: Pain Level Detection for Osteoarthritis from EMR Data","created":"2026-08-16","cited_by_count":0,"area":null}],"next_cursor":null}