arXiv (All)
open access
Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models
How large language models (LLMs) integrate patient risk with clinical cost tradeoffs remains poorly understood. We investigated how four open-weight LLMs (Qwen-2.5-7B/32B and Llama-3.1-8B/70B) internally represent cost tradeoffs, how these representations relate to clinical predictions, and whether
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Improving Fairness of Large Language Model-Based ICU Mortality Prediction via Case-Based Prompting#1143654
- ESLM: Risk-Averse Selective Language Modeling for Efficient Pretraining#1050755
- Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation#998087
- Creation, Implementation and Validation of Intra- and Postoperative Risk Prediction Models#859072
- Evaluating large language model performance in Risk of Bias assessments: A cross-sectional validation study.#358209
Record · ID 1050188
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive