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20242026
most citedQwen3-Omni Technical Report

2 citations · 3 across the 11 of their papers we have counts for

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7 papers · 1 filter

cs.CL2025★ 2 cited

Qwen3-Omni Technical Report

Jin Xu, Zhifang Guo, Hangrui Hu +35

We present Qwen3-Omni, a single multimodal model that, for the first time, maintains state-of-the-art performance across text, image, audio, and video without any degradation relat…

cs.CL2025

CultureSynth: A Hierarchical Taxonomy-Guided and Retrieval-Augmented Framework for Cultural Question-Answer Synthesis

Xinyu Zhang, Pei Zhang, Shuang Luo +4

Cultural competence, defined as the ability to understand and adapt to multicultural contexts, is increasingly vital for large language models (LLMs) in global environments. While…

cs.SD2025

Direct Simultaneous Translation Activation for Large Audio-Language Models

Pei Zhang, Yiming Wang, Jialong Tang +4

Simultaneous speech-to-text translation (Simul-S2TT) aims to translate speech into target text in real time, outputting translations while receiving source speech input, rather tha…

cs.CL2025

Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models

Suhang Wu, Jialong Tang, Chengyi Yang +6

Direct speech translation (ST) has garnered increasing attention nowadays, yet the accurate translation of terminology within utterances remains a great challenge. In this regard,…

cs.CL2025

Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese

Yikang Liu, Wanyang Zhang, Yiming Wang +6

Translationese refers to linguistic properties that usually occur in translated texts. Previous works study translationese by framing it as a binary classification between original…

cs.CV2025

ConText: Driving In-context Learning for Text Removal and Segmentation

Fei Zhang, Pei Zhang, Baosong Yang +3

This paper presents the first study on adapting the visual in-context learning (V-ICL) paradigm to optical character recognition tasks, specifically focusing on text removal and se…

cs.CL2025

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts

Yiming Wang, Pei Zhang, Jialong Tang +12

In this paper, we introduce PolyMath, a multilingual mathematical reasoning benchmark covering 18 languages and 4 easy-to-hard difficulty levels. Our benchmark ensures difficulty c…