Work

Position: LLMs Can be Good Tutors in English Education

Year: 2025

Type: conference-paper

Abstract: Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. 2025.

Source: Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI: 10.18653/v1/2025.emnlp-main.885

Authors: Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen

Institutions: Tsinghua University, The Hong Kong University of Science and Technology (Guangzhou), Peng Cheng Laboratory, Fudan University, Chinese University of Hong Kong, University of Illinois Chicago

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Funders: National Science Foundation, National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province

Awards: NSF POSE: Phase II: OpenAD: An Integrated Open-Source Ecosystem for Anomaly Detection, G2644651764, III: Medium: Collaborative Research: Self-Supervised Recommender System Learning with Application Specific Adaption, G4847807790

OpenAlex ID: W4416036264

FWCI: 10.77

Cites:

Cited by: 9

Related to: 10