arXiv (All)
open access
Agentic Large Language Models
Large language models (LLMs) have taken the world by storm. Their ability to communicate with us in our own language, and to reason about our world, has made them a favorite tool for writing, answering questions, and much more. Their answers already influence our decisions and our actions. What woul
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
- Think Before You Speak: Enabling Training-Free Latent Communication Between Language Models#1327755
- LLM Persuasion Is in the Eye of the Evaluation#1234599
- LLM Persuasion Is in the Eye of the Evaluation#1227391
- Agent System Operations: Categorization, Challenges, and Future Directions#974445
- Large Language Models in the UK: Public Use, Trust, and Attitudes#1064720
Record · ID 1297807
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