arXiv (OAI)
open access
Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models
artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognitionmachine-learningmultimedia
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
- Benchmark evaluation of DeepSeek large language models in clinical decision-making#359604
- Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions#328733
- A patient-derived benchmark for evaluating large language models in connective tissue diseases: blinded multi-stakeholder assessment and guideline comparison.#371711
- ClinicRealm: Re-evaluating large language models with conventional machine learning for non-generative clinical prediction tasks.#14927
- PeFoMed: Parameter efficient fine-tuning of multimodal large language models for medical CXR.#288921
Record · ID 179214
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