SPIN Unprocessed October 16, 2026 ai_technology research
PRISM: PRIvileged Sibling-guided Multi-Agent Topology Design
View original on arxiv.orgOverview
arXiv:2610.20628v1 Announce Type: new Abstract: Multi-agent systems (MAS) based on large language models (LLMs) have become a powerful way to address complex problems, and their effectiveness depends critically on the collaboration topology that decides which agents participate and how they communicate. Recent work learns to generate this topology from the task query, fitting the generator to corpora of execution-verified graphs. The post-training method for such generators remains a limitation:
SpinGraph analysis pending — check back after processing.
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
More from arXiv Computation and Language
View all →- Prune the Summary, Not the History: Source-Judged Compaction for Long-Horizon Agents
- Does Morphological Correctness Matter for Tokenization? A Scrambled Control Study in Tagalog
- PEDBench: Can Speech Models Detect Phonetic Errors?
- CoTranslator: Reverse to Forward Chain-of-Thought Translator for Reasoning Distillation
- Wolof-Adapted Industry-Ready Open-Weight Language Models
- PRISM: Transfer and Limits of Activation Interventions in Tool-Calling Language Models
Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO