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Bibliographic Details
Main Authors:	Xie, Jiacheng, Zeng, Shuai, Yu, Yang, Tang, Xiaoting, An, Guanghui, Xu, Dong
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2510.17402
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TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
by: Xie, Jiacheng, et al.
Published: (2025)

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

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

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

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)

Intelligent Understanding of Large Language Models in Traditional Chinese Medicine Based on Prompt Engineering Framework
by: Chen, Yirui, et al.
Published: (2024)

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)

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

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

From Metaphor to Mechanism: How LLMs Decode Traditional Chinese Medicine Symbolic Language for Modern Clinical Relevance
by: Tang, 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)

TCMD: A Traditional Chinese Medicine QA Dataset for Evaluating Large Language Models
by: Yu, Ping, et al.
Published: (2024)

Leveraging Adaptive Group Negotiation for Heterogeneous Multi-Robot Collaboration with Large Language Models
by: Song, Siqi, et al.
Published: (2025)

Kuaiji: the First Chinese Accounting Large Language Model
by: Luo, Jiayuan, et al.
Published: (2024)

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models
by: Yang, Yuncheng, 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)

Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications
by: Li, Anran, et al.
Published: (2025)

AutoRE: Document-Level Relation Extraction with Large Language Models
by: Xue, Lilong, et al.
Published: (2024)

TCM-DiffRAG: Personalized Syndrome Differentiation Reasoning Method for Traditional Chinese Medicine based on Knowledge Graph and Chain of Thought
by: Li, Jianmin, et al.
Published: (2026)

TCM-3CEval: A Triaxial Benchmark for Assessing Responses from Large Language Models in Traditional Chinese Medicine
by: Huang, Tianai, et al.
Published: (2025)

GenRES: Rethinking Evaluation for Generative Relation Extraction in the Era of Large Language Models
by: Jiang, Pengcheng, et al.
Published: (2024)

Token-Efficient Leverage Learning in Large Language Models
by: Zeng, Yuanhao, et al.
Published: (2024)

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models
by: Liu, Ye, et al.
Published: (2024)

Jingfang: An LLM-Based Multi-Agent System for Precise Medical Consultation and Syndrome Differentiation in Traditional Chinese Medicine
by: Yang, Yehan, et al.
Published: (2025)

HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models through Curriculum Tuning
by: Yang, Qihao, et al.
Published: (2025)

Leveraging Large Language Model as Simulated Patients for Clinical Education
by: Li, Yanzeng, et al.
Published: (2024)

Group Sequence Policy Optimization
by: Zheng, Chujie, et al.
Published: (2025)

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization
by: Xu, Austin, et al.
Published: (2025)

ZhiFangDanTai: Fine-tuning Graph-based Retrieval-Augmented Generation Model for Traditional Chinese Medicine Formula
by: Zhang, ZiXuan, et al.
Published: (2025)

Scaf-GRPO: Scaffolded Group Relative Policy Optimization for Enhancing LLM Reasoning
by: Zhang, Xichen, et al.
Published: (2025)

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

Personalized Group Relative Policy Optimization for Heterogenous Preference Alignment
by: Wang, Jialu, et al.
Published: (2026)

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

Citrus: Leveraging Expert Cognitive Pathways in a Medical Language Model for Advanced Medical Decision Support
by: Wang, Guoxin, et al.
Published: (2025)

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

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
by: Zhang, Jingyi, et al.
Published: (2025)

MiniLLM: On-Policy Distillation of Large Language Models
by: Gu, Yuxian, et al.
Published: (2023)

AlignBench: Benchmarking Chinese Alignment of Large Language Models
by: Liu, Xiao, et al.
Published: (2023)

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