arXiv (All)
open access
Bridging Foundational and Agentic Capabilities of LLMs
Large language models (LLMs) are increasingly deployed as agents, yet it remains unclear how their foundational capabilities translate into agentic capabilities. End-to-end scores leave unresolved whether low benchmark capability or weak deployment drives a failure, limiting actionable diagnosis. We
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
- Beyond the Verdict: Agentic Code Judging with Verifiable Feedback#1344257
- Beyond the Verdict: Agentic Code Judging with Verifiable Feedback#1319062
- Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security#798236
- Towards a Systems Foundation for Agentic Skills: Architecture, Lifecycle, and Security#796823
- Bridging Foundational and Agentic Capabilities of LLMs#1406523
Record · ID 1414356
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