Meng Wang
3 papers · Latest:
Artificial Intelligence
Resolving the bias-precision paradox with stochastic causal representation learning for personalized medicine
sMMD, a stochastic causal representation learning method, resolves the bias-precision paradox in personalized medicine, improving individualized treatment effects.
2605.05706
Information RetrievalPost-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
PFA introduces a post-hoc fairness adapter for frozen recommenders, enabling flexible provider exposure fairness without expensive model retraining.
2605.01524
Natural Language ProcessingRetrieval-Augmented Generation for Large Language Models: A Survey
This survey reviews Retrieval-Augmented Generation (RAG) techniques that enhance large language models by integrating external knowledge sources to improve accuracy and reliability.
2312.10997
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