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20232026
most citedKaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model

1 citations · 2 across the 17 of their papers we have counts for

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cs.CL2026

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders

Yexing Du, Kaiyuan Liu, Youcheng Pan +4

Multimodal large language models (MLLMs) have achieved significant success in speech-to-text translation (S2TT). However, when processing multilingual speech inputs, a single speec…

cs.CL2026

DualAnchor: Preserving Language Priors and Improving Lexical Fidelity in Gloss-Free Sign Language Translation

Hongbin Zhang, Junhao Liu, Xuefeng Bai +3

Recent advances in large language models (LLMs) have led sign language translation (SLT), the task of converting sign-language videos into spoken-language text, to increasingly ado…

cs.CL2026

Mitigating Translationese Bias in Multilingual LLM-as-a-Judge via Disentangled Information Bottleneck

Hongbin Zhang, Kehai Chen, Xuefen Bai +4

Large language models (LLMs) have become a standard for multilingual evaluation, yet they exhibit a severe systematic translationese bias. In this paper, translationese bias is cha…

cs.CL2026

Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion

Yexing Du, Youcheng Pan, Zekun Wang +7

Multimodal Large Language Models (MLLMs) have achieved notable success in enhancing translation performance by integrating multimodal information. However, existing research primar…

cs.CL2026

MCGA: A Multi-task Classical Chinese Literary Genre Audio Corpus

Yexing Du, Kaiyuan Liu, Bihe Zhang +9

With the rapid advancement of Multimodal Large Language Models (MLLMs), their potential has gained significant attention in Chinese Classical Studies (CCS). While existing research…

cs.CL2025

MCAT: Scaling Many-to-Many Speech-to-Text Translation with MLLMs to 70 Languages

Yexing Du, Kaiyuan Liu, Youcheng Pan +7

Multimodal Large Language Models (MLLMs) have achieved great success in Speech-to-Text Translation (S2TT) tasks. However, current research is constrained by two key challenges: lan…