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NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering

Year: 2026

Type: conference-paper

Abstract: Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Conference of the European Chapter of the Association for Computational Linguistics

DOI: 10.18653/v1/2026.eacl-long.352

Authors: Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye

Institutions: University of Notre Dame, IBM (United States), University of Connecticut

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Division of Civil, Mechanical and Manufacturing Innovation

Awards: III: Small: A New Machine Learning Paradigm Towards Effective yet Efficient Foundation Graph Learning Models, SCC-IRG Track 1: A New AI-driven Paradigm to Promote Community Resilience for Teenagers and Young Adults in Preventing Opioid Misuse and Addiction, Collaborative Research: III: Small: Data-driven and AI-powered Innovations for Tackling the Nexus of Poverty-driven Food Insecurity and the Opioid Crisis, III: Medium: A Data-driven and AI-augmented Framework for Collaborative Decision Making to Combat Infectious Disease Outbreaks, D-ISN: An AI-augmented Framework to Detect, Disrupt, and Dismantle Opioid Trafficking Networks

OpenAlex ID: W7140111759

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