NCBI PubMed Central
open access
Fine-grained evaluation of a domain-specific Q&A dataset to support trustworthy medical language models.
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
- Pre-trained Language Models in Biomedical Domain: A Systematic Survey#421590
- Investigating Linear Probe Robustness to Linguistic Register, Medical Specialty, and Corpus Shifts in Medical QA#627698
- Toward Retrieval-Grounded Evaluation for Conversational Large Language Model-Based Risk Assessment.#167744
- Application of Sparse Autoencoders to Enhance Mechanistic Interpretability of Large Language Models in Medicine.#236014
- Pretraining and adapting a language model on a dependency-free stack: GPT-2 124M from random weights, reproduced against llm.c, and a clinical adapter for Qwen3-0.6B#1076224
Record · ID 135848
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