Cover Image

Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Yirui, Xiao, Qinyu, Yi, Jia, Chen, Jing, Wang, Mengyang
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Qibo: A Large Language Model for Traditional Chinese Medicine
by: Zhang, Heyi, et al.
Published: (2024)

BianCang: A Traditional Chinese Medicine Large Language Model
by: Wei, Sibo, et al.
Published: (2024)

Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework
by: Han, Jiatong
Published: (2025)

TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
by: Yue, Wenjing, et al.
Published: (2024)

TianHui: A Domain-Specific Large Language Model for Diverse Traditional Chinese Medicine Scenarios
by: Yin, Ji, et al.
Published: (2025)

BenCao: An Instruction-Tuned Large Language Model for Traditional Chinese Medicine
by: Xie, Jiacheng, et al.
Published: (2025)

Enhancing the Traditional Chinese Medicine Capabilities of Large Language Model through Reinforcement Learning from AI Feedback
by: Yu, Song, et al.
Published: (2024)

Leveraging Group Relative Policy Optimization to Advance Large Language Models in Traditional Chinese Medicine
by: Xie, Jiacheng, et al.
Published: (2025)

MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine
by: Kong, Shufeng, et al.
Published: (2025)

Can Pre-trained Language Models Understand Chinese Humor?
by: Chen, Yuyan, et al.
Published: (2024)

Tianyi: A Traditional Chinese Medicine all-rounder language model and its Real-World Clinical Practice
by: Liu, Zhi, et al.
Published: (2025)

The Evolving Landscape of Generative Large Language Models and Traditional Natural Language Processing in Medicine
by: Yang, Rui, et al.
Published: (2025)

How Confident Is the First Token? An Uncertainty-Calibrated Prompt Optimization Framework for Large Language Model Classification and Understanding
by: Chen, Wei, et al.
Published: (2026)

Hengqin-RA-v1: Advanced Large Language Model for Diagnosis and Treatment of Rheumatoid Arthritis with Dataset based Traditional Chinese Medicine
by: Liu, Yishen, et al.
Published: (2025)

Metacognitive Prompting Improves Understanding in Large Language Models
by: Wang, Yuqing, et al.
Published: (2023)

ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine
by: Chen, Junying, et al.
Published: (2025)

MedHallBench: A New Benchmark for Assessing Hallucination in Medical Large Language Models
by: Zuo, Kaiwen, et al.
Published: (2024)

RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
by: Chen, Weizhe, et al.
Published: (2024)

LLM-DER:A Named Entity Recognition Method Based on Large Language Models for Chinese Coal Chemical Domain
by: Xiao, Le, et al.
Published: (2024)

Chinese Metaphor Recognition Using a Multi-stage Prompting Large Language Model
by: Wang, Jie, et al.
Published: (2024)

Teaching-Inspired Integrated Prompting Framework: A Novel Approach for Enhancing Reasoning in Large Language Models
by: Tan, Wenting, et al.
Published: (2024)

ELPO: Ensemble Learning Based Prompt Optimization for Large Language Models
by: Zhang, Qing, et al.
Published: (2025)

Integrating Chemistry Knowledge in Large Language Models via Prompt Engineering
by: Liu, Hongxuan, et al.
Published: (2024)

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
by: Liu, Xiaogeng, et al.
Published: (2023)

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan
by: Yao, Jui-Ming, et al.
Published: (2025)

MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization
by: Chen, Yuyan, et al.
Published: (2024)

NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
by: Li, Miao, et al.
Published: (2024)

KnowGPT: Knowledge Graph based Prompting for Large Language Models
by: Zhang, Qinggang, et al.
Published: (2023)

Fùxì: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and Generation
by: Zhao, Shangqing, et al.
Published: (2025)

Autonomous Prompt Engineering in Large Language Models
by: Kepel, Daan, et al.
Published: (2024)

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
by: Murthy, Rithesh, et al.
Published: (2025)

DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
by: Hong, Junyuan, et al.
Published: (2023)

Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, et al.
Published: (2024)

Counterfactual-Consistency Prompting for Relative Temporal Understanding in Large Language Models
by: Kim, Jongho, et al.
Published: (2025)

Can Large Language Models Understand Real-World Complex Instructions?
by: He, Qianyu, et al.
Published: (2023)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
by: Sun, Jiashuo, et al.
Published: (2023)

InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models
by: Ding, Jing, et al.
Published: (2025)

LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
by: Zhou, Zhi, et al.
Published: (2024)

Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model
by: Chen, Jiali, et al.
Published: (2025)

Understanding Privacy Risks of Embeddings Induced by Large Language Models
by: Zhu, Zhihao, et al.
Published: (2024)