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Making LLMs Better Many-to-Many Speech-to-Text Translators with Curriculum Learning

Year: 2025

Type: conference-paper

Abstract: Yexing Du, Youcheng Pan, Ziyang Ma, Bo Yang, Yifan Yang, Keqi Deng, Xie Chen, Yang Xiang, Ming Liu, Bing Qin. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.610

Authors: Yexing Du, Youcheng Pan, Ziyang Ma, Bo Yang, Yifan Yang, Keqi Deng, Xie Chen, Yang Xiang, Ming Liu, Bing Qin

Institutions: Harbin Institute of Technology, Peng Cheng Laboratory, Shanghai Jiao Tong University, University of Cambridge

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Natural Science Foundation of China

Award: G4442529403

OpenAlex ID: W4412945359

FWCI: 2.118

Cites:

Cited by: 2

Related to: 10