Syndrome, Synergy, and Safety: Structured Reasoning and Knowledge-Driven Alignment for TCM Prescription Generation

arXiv:2609.25755 · cs.CL, cs.AI · Submitted 2026-09-22 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: 21pages, 6figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Alignment — 16× in this paper · explained in 1 episode
• Structured Reasoning — 11× in this paper · explained in 3 episodes
• Distillation — 10× in this paper · explained in 2 episodes
• Verification — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Fine-Tuning — 6× in this paper · explained in 5 episodes
• Traditional Chinese Medicine — 6× in this paper
• Ablation — 5× in this paper · explained in 1 episode
• Adaptation — 4× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Chain-of-Thought Prompting — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Paradigm-Guided Chain-of-Thought — 2× in this paper
• Quantization — 2× in this paper · explained in 12 episodes
• Semantic Similarity — 2× in this paper · explained in 2 episodes
• Adversarial scenarios — 1× in this paper · explained in 1 episode
• Alignment Tax — 1× in this paper · explained in 4 episodes
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Parameter-Efficient Fine-Tuning — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Constitutional AI: Harmlessness from AI Feedback
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• DeepSeek-V3 Technical Report
• The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes
• HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge
• Baichuan 2: Open Large-scale Language Models
• TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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