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20222026
most citedConnecting Multi-modal Contrastive Representations

13 citations · 33 across the 42 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Vox-Infinity: Benchmarking the Limits of Long-Context Spoken Language Models

Xize Cheng, Wenxu Jia, Chenyuhao Wen +4

Long-context understanding remains a fundamental challenge for large language models, as excessively long inputs often lead models to forget salient information. This issue is even…

cs.CL2025

OmniChat: Enhancing Spoken Dialogue Systems with Scalable Synthetic Data for Diverse Scenarios

Xize Cheng, Dongjie Fu, Xiaoda Yang +11

With the rapid development of large language models, researchers have created increasingly advanced spoken dialogue systems that can naturally converse with humans. However, these…

cs.CL2023

OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality Alignment

Xize Cheng, Tao Jin, Linjun Li +3

Speech Recognition builds a bridge between the multimedia streaming (audio-only, visual-only or audio-visual) and the corresponding text transcription. However, when training the s…

cs.CL2023

AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation

Rongjie Huang, Huadai Liu, Xize Cheng +8

Direct speech-to-speech translation (S2ST) aims to convert speech from one language into another, and has demonstrated significant progress to date. Despite the recent success, cur…

cs.CL2023★ 1 cited

Wav2SQL: Direct Generalizable Speech-To-SQL Parsing

Huadai Liu, Rongjie Huang, Jinzheng He +4

Speech-to-SQL (S2SQL) aims to convert spoken questions into SQL queries given relational databases, which has been traditionally implemented in a cascaded manner while facing the f…