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Found 6 papers, 4 papers with code
Tool Calling: Enhancing Medication Consultation via Retrieval-Augmented Large Language Models
With experimental results, we show that our framework brings notable performance improvements and surpasses the previous counterparts in the evidence retrieval process in terms of evidence retrieval accuracy.
MidMed: Towards Mixed-Type Dialogues for Medical Consultation
To mitigate this challenge, we propose a novel task and create a human-to-human mixed-type medical consultation dialogue corpus, termed MidMed, covering five dialogue types: task-oriented dialogue for diagnosis, recommendation, knowledge-grounded dialogue, QA, and chitchat.
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model
Continual pretraining is a popular way of building a domain-specific pretrained language model from a general-domain language model.
FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer
Specifically, we focus on layer tuning for feed-forward network in the Transformer, namely FL-tuning.
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization
FB merges the similarity come from MTCG and KAR to sort the terminologies from different perspectives.
Fine-tuning BERT for Joint Entity and Relation Extraction in Chinese Medical Text
Entity and relation extraction is the necessary step in structuring medical text.
