Nexa learns a response-conditioned policy that starts with parallel agent execution and adds at most one round of sequential message passing via a predicted sparse DAG, strictly subsuming pure parallel mode.
Title resolution pending
2 Pith papers cite this work, alongside 28 external citations. Polarity classification is still indexing.
2
Pith papers citing it
28
external citations · OpenAlex
years
2026 2representative citing papers
citing papers explorer
-
Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems
Nexa learns a response-conditioned policy that starts with parallel agent execution and adds at most one round of sequential message passing via a predicted sparse DAG, strictly subsuming pure parallel mode.
- LLM-Based Educational Simulation: Evaluating Temporal Student Persona Stability Across ADHD Profiles