Work

DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning

Year: 2026

Type: conference-paper

Abstract: Nithin Sivakumaran, Justin Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal. 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.253

Authors: Nithin Sivakumaran, Justin Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal

Institutions: University of North Carolina at Chapel Hill, Nanyang Technological University, The University of Texas at Austin

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, Cisco Systems, National Institutes of Health, Defense Advanced Research Projects Agency, Office of Naval Research, Army Research Office

Awards: Unified and fair multimodal representation learning for autoimmune diseases, G2921176242, G5599941371, CAREER: Semantic Multi-Task Learning for Generalizable and Interpretable Language Generation, AI Institute for Engaged Learning, G6671297155, G8876996369

OpenAlex ID: W7140081091

FWCI: 8.904

Cites:

Cited by: 1

Related to: 10