DigestAI news desk
hot Microsoft AI CEO warns Anthropic's model rights approach risks alignment failures new Legal LLMs' Hallucinations Should Be Evaluated as Warrant Failures hot TypeSafe AI unveils Jev, a frontier model up to 400× cheaper and 200× faster new Benchmarking LLMs for Key-Value Extraction in Noisy OCR Documents hot Google DeepMind launches Gemini 3.8 Live and 3.8 Live Extended Thinking models new Study Shows Relation Facts Trigger Earlier Than Entity Facts in Language Models hot JiT-DDT Architecture Trains Text-to-Image Models 3.6x Faster new LLM-Enhanced Model Improves Extubation Failure Prediction Using Therapy Notes hot OpenAI launches Sponsored Agents and AI ad tools in ChatGPT new Study maps four-stage pipeline for LLM math word problems, isolates failure point hot BITCOS layout cuts ternary LLM storage below 1.58 bits per weight new FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression hot Anthropic merges Cowork and chat into unified 'One Claude' platform new NeMo Data Designer Offers Flexible Framework for Multimodal Synthetic Data hot Apple Unveils macOS 27 Golden Gate with Built‑In Generative AI and Intel‑Free Design new Nvidia’s Inference Opportunity: Beyond Training
Generative AI & Models updated

LLMs outperform traditional Chinese medicine physicians in case evaluations

A study involving 16 large language models (LLMs) and 60 practicing TCM physicians evaluated real-world cases from 62 hospitals. The LLMs scored higher than the physicians on diagnostic advice, treatment principles, and selected diagnostic tasks. However, prescription-level analyses revealed discrepancies in herb selection, dosage, and treatment strategy. Qualitative safety reviews also…

1 source primary source

Key points

  • LLMs scored higher than TCM physicians on diagnostic advice and treatment principles
  • Prescription-level analyses showed discrepancies in herb selection, dosage, and strategy
  • Qualitative safety reviews identified hallucinations and undesirable outputs
Read the original at arXiv cs.CL · by Jiacheng Xie, Xiaoting Tang, Yang Yu, Jinpu Li, Shouli Li, Congcong Jing, Yantao Yang, Zhiyong Zhao, Ziyang Zhang, Qilin Song, Guanghui An, Dong Xu primary source Open source ↗
Topics · follow one to build your own front page
LLMsLarge Language Models

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us.

Comments

via GitHub Discussions

More in Generative AI & Models

All →

Related stories