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Song Chen

5 papers hereh-index 3167 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.AI1
  • cs.CV1
  • cs.SD1
same name
  • Song Chen — 7 papers, h 6
  • Song Chen — 4 papers, h 6
  • Song Chen — 2 papers, h 4
  • Song Chen — 2 papers, h 1
  • Song Chen — 1 paper, h 10
  • Song Chen — 1 paper, h 0

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

5 papers

cs.SD2025

Singing Timbre Popularity Assessment Based on Multimodal Large Foundation Model

Zihao Wang, Ruibin Yuan, Ziqi Geng +7

Automated singing assessment is crucial for education and entertainment. However, existing systems face two fundamental limitations: reliance on reference tracks, which stifles cre…

cs.CL2025

SimulMEGA: MoE Routers are Advanced Policy Makers for Simultaneous Speech Translation

Chenyang Le, Bing Han, Jinshun Li +2

Simultaneous Speech Translation (SimulST) enables real-time cross-lingual communication by jointly optimizing speech recognition and machine translation under strict latency constr…

cs.CV2025

Ocean-OCR: Towards General OCR Application via a Vision-Language Model

Song Chen, Xinyu Guo, Yadong Li +10

Multimodal large language models (MLLMs) have shown impressive capabilities across various domains, excelling in processing and understanding information from multiple modalities.…

cs.CL2025

Baichuan-Omni-1.5 Technical Report

Yadong Li, Jun Liu, Tao Zhang +89

We introduce Baichuan-Omni-1.5, an omni-modal model that not only has omni-modal understanding capabilities but also provides end-to-end audio generation capabilities. To achieve f…

cs.AI2024

Baichuan-Omni Technical Report

Yadong Li, Haoze Sun, Mingan Lin +23

The salient multimodal capabilities and interactive experience of GPT-4o highlight its critical role in practical applications, yet it lacks a high-performing open-source counterpa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.