The paper defines linear and non-linear interaction contexts for LLMs and conjectures that prompting techniques and multi-agent systems are equivalent projections of the same patterns.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models
The paper defines linear and non-linear interaction contexts for LLMs and conjectures that prompting techniques and multi-agent systems are equivalent projections of the same patterns.