Co-occurring keywords · papers mentioning both
Papers
LLMs for Now, Fine-Tuning for Later: An Ensemble Approach to Data Drift in Domain-Specific Tasks
ACL 2026
MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift
AAAI 2026
Challenges and Remedies of Domain-Specific Classifiers as LLM Guardrails: Self-Harm as a Case Study
NAACL 2025
Training Data Soft Selection via Joint Density Ratio Estimation
ACML 2025
Data Drift in Clinical Outcome Prediction from Admission Notes
COLING 2024
DetAIL: A Tool to Automatically Detect and Analyze Drift in Language
AAAI 2023
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics
AISTATS 2023
Reliable and Interpretable Drift Detection in Streams of Short Texts
ACL 2023
Back to the Future – Temporal Adaptation of Text Representations
AAAI 2020
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks
MLHC 2019