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Uncertainty-Aware Test-Time Search for Optimization Problem Solving

Year: 2026

Type: conference-paper

Abstract: Linlin Yu, Xujiang Zhao, Dong Li, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Chen Zhao, Feng Chen, Haifeng Chen. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.1975

Authors: Linlin Yu, Xujiang Zhao, Dong Li, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Chen Zhao, Feng Chen, Haifeng Chen

Institutions: Augusta University, NEC (United States), Baylor University, The University of Texas at Dallas

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Awards: IUCRC Phase I Baylor University: Center for Responsible Artificial Intelligence and Governance (CRAIG), ATD: Sparse and Localized Graph Convolutional Networks for Anomaly Detection and Active Learning, III: Medium: Collaborative Research: MUDL: Multidimensional Uncertainty-Aware Deep Learning Framework

OpenAlex ID: W7166885681

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