Work

NavA3: Understanding Any Instruction, Navigating Anywhere, Finding Anything

Year: 2026

Type: conference-paper

Abstract: Lingfeng Zhang, Xiaoshuai Hao, Yingbo Tang, Haoxiang Fu, Xinyu Zheng, Pengwei Wang, Zhongyuan Wang, Wenbo Ding, Shanghang Zhang. 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.37

Authors: Lingfeng Zhang, Xiaoshuai Hao, Yingbo Tang, Haoxiang Fu, Xinyu Zheng, Pengwei Wang, Zhongyuan Wang, Wenbo Ding, Shanghang Zhang

Institutions: Xiaomi (China), Institute of Automation, National University of Singapore, Tongji University, Beijing Academy of Artificial Intelligence, Tsinghua Shenzhen International Graduate School, Tsinghua University, Peking University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Natural Science Foundation of China

Award: G8519042364

OpenAlex ID: W7166845062

FWCI: 8.935

Cites:

Cited by: 1

Related to: 10