Marzyeh Ghassemi

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe ACL 2026 LEMoN: Label Error Detection using Multimodal Neighbors ICML 2025 MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations EMNLP 2025 Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions ICML 2025 Vision-Language Models Do Not Understand Negation CVPR 2025 Asymmetry in Low-Rank Adapters of Foundation Models ICML 2024 BendVLM: Test-Time Debiasing of Vision-Language Embeddings NeurIPS 2024 Can AI Relate: Testing Large Language Model Response for Mental Health Support EMNLP 2024 Event-Based Contrastive Learning for Medical Time Series MLHC 2024 FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging MICCAI 2024 Improving Subgroup Robustness via Data Selection NeurIPS 2024 MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making NeurIPS 2024 Measuring Stochastic Data Complexity with Boltzmann Influence Functions ICML 2024 MisinfoEval: Generative AI in the Era of “Alternative Facts” EMNLP 2024 Position: Application-Driven Innovation in Machine Learning ICML 2024 Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation ICLR 2024 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors NeurIPS 2023 Change is Hard: A Closer Look at Subpopulation Shift ICML 2023 Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals MLHC 2023 VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception NeurIPS 2023 When Personalization Harms Performance: Reconsidering the Use of Group Attributes in Prediction ICML 2023 "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023 If Influence Functions are the Answer, Then What is the Question? NeurIPS 2022 Improving Mutual Information Estimation with Annealed and Energy-Based Bounds ICLR 2022 Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning ICLR 2022 Understanding the Variance Collapse of SVGD in High Dimensions ICLR 2022 Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning NeurIPS 2021 Learning Optimal Predictive Checklists NeurIPS 2021 Medical Dead-ends and Learning to Identify High-Risk States and Treatments NeurIPS 2021 Simultaneous Similarity-based Self-Distillation for Deep Metric Learning ICML 2021 CheXpert++: Approximating the CheXpert Labeler for Speed, Differentiability, and Probabilistic Output MLHC 2020 Multiple Sclerosis Severity Classification From Clinical Text EMNLP 2020 Preparing a Clinical Support Model for Silent Mode in General Internal Medicine MLHC 2020 SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness EMNLP 2020 Clinically Accurate Chest X-Ray Report Generation MLHC 2019 Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks MLHC 2019 The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers NeurIPS 2019 Racial Disparities and Mistrust in End-of-Life Care MLHC 2018 Uncovering Voice Misuse Using Symbolic Mismatch MLHC 2016