KDD 2026 - RaceMED: A Race-Aware Approach to Accurate and Fair Medication Recommendation @TheOfficialACM
KDD 2026 - RaceMED: A Race-Aware Approach to Accurate and Fair Medication Recommendation @TheOfficialACM
Uploaded July 2026 | Updated September 2026, 2 weeks ago
Hojung Shin, Taeri Kim, Jebum Choi, Hyunjoon Kim, Sang-Wook Kim
KDD 2026 - RaceMED: A Race-Aware Approach to Accurate and Fair Medication RecommendationIdentity-related Speech Suppression in Generative AI Content ModerationPeople of ACM: Sheelagh Carpendale (6/9/2026)KDD 2025 - Contrastive Learning for Inventory Add Prediction at FliggyDoes Safety Molt? Evaluating LLM Safety in Multi-Agent Social EnvironmentsKDD 2026 - Invariant Structure Learning with Pre-trained Language Models for Spatio-temporal GraphPeople of ACM: Richa Singh (9/9/2025)Archaeology of Self: Reflexivity in Data Activism to Address Systemic InjusticesKDD 2025 - Capilllary Dataset: A Dataset of Nail-fold Capillaries Captured by MicroscopyKDD 2025 - FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in FinanceKDD 2026 - TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular LearningKDD 2026 - UniNote: A Unified Embedding Model for Multimodal Representation and Ranking
Association for Computing Machinery (ACM) |

KDD 2026 - RaceMED: A Race-Aware Approach to Accurate and Fair Medication Recommendation

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