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Ansong Ni

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#natural language process... Preprint Oct 2026

Scaling Multi-Agent Intelligence with Substrate-Centric Coordination

Existing large language model (LLM) based multi-agent systems have been shown to scale poorly, and we identify three problems: reading burden that grows with the group, useful information diluted by shared work of unknown quality, and fragility to failed agents. We argue that the problems are largely due to agent-centr...

Zhen-Ting Qi, Zhuo-Kai Zhao, Ru-Lin Shao et al. · 0 citations
2025

Collaborative Reasoner: Self-Improving Social Agents with Synthetic Conversations

This work presents Collaborative Reasoner, a framework to evaluate and improve the collaborative reasoning abilities of language models, and proposes a self-play method to generate synthetic multi-turn preference data and further train the language models to be better collaborators.

Ansong Ni, Ruta Desai, Yang Li et al. · 7 citations

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