NCBI PubMed Central
open access
A benchmark for assessing large language models on molecular-to-food and food-to-molecular prediction tasks.
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
- Detecting Pretraining Data in Large Language Models from a Free-Energy Perspective#1036277
- Detecting Pretraining Data in Large Language Models from a Free-Energy Perspective#1006853
- Locating Answer-Correctness Signals in Frozen Large Language Models#1142012
- Predicting and Decoding Allosteric Binding Sites Using Protein Language Models and Structure-Based Machine Learning: An Energy Landscape-Guided Explainable AI Framework.#239717
- Resample or Reroute? Budget-Aware Test-Time Model Selection for Large Language Models#353048
Record · ID 402744
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