Mingchen Li
4 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition
2023 · arXiv (Cornell University)
Contrastive learning has become a popular solution for few-shot Name Entity Recognization (NER). The conventional configuration strives to reduce the distance between tokens with the same labels and increase the distance between tokens with different …
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MedChatZH: a Better Medical Adviser Learns from Better Instructions
2023 · arXiv (Cornell University)
Generative large language models (LLMs) have shown great success in various applications, including question-answering (QA) and dialogue systems. However, in specialized domains like traditional Chinese medical QA, these models may perform unsatisfactorily without fine-tuning on …
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Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
2024 · arXiv (Cornell University)
Modern classification problems exhibit heterogeneities across individual classes: Each class may have unique attributes, such as sample size, label quality, or predictability (easy vs difficult), and variable importance at test-time. Without care, these heterogeneities impede …
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RAMIE: Retrieval-Augmented Multi-task Information Extraction with Large Language Models on Dietary Supplements
2024 · arXiv (Cornell University)
\textbf{Objective:} We aimed to develop an advanced multi-task large language model (LLM) framework to extract multiple types of information about dietary supplements (DS) from clinical records. \textbf{Methods:} We used four core DS information extraction tasks …