Lingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine
cs.CL, cs.AI
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/TCMAI-BJTU/Lingdan-V2
Sources
- gpt-oss-120b & gpt-oss-20b Model Card
- MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
- ShizhenGPT: Towards Multimodal LLMs for Traditional Chinese Medicine
- Baichuan-M2: Scaling Medical Capability with Large Verifier System
- LingLanMedBench: A Unified Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
- MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine
- Huatuo-26M, a Large-scale Chinese Medical QA Dataset
- RJUA-QA: A Comprehensive QA Dataset for Urology
- AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Finetuned Language Models Are Zero-Shot Learners
- Qwen3 Technical Report
- Baichuan 2: Open Large-scale Language Models
- Instruction Tuning for Large Language Models: A Survey
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