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Daxin Jiang

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV1
ORCID 0000-0002-6657-5806
same name
  • Daxin Jiang — 86 papers, h 48
  • Daxin Jiang — 41 papers, h 14
  • Daxin Jiang — 30 papers, h 24
  • Daxin Jiang — 11 papers, h 6
  • Daxin Jiang — 9 papers, h 5
  • Daxin Jiang — 5 papers, h 2

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

most citedNeuronBlocks: Building Your NLP DNN Models Like Playing Lego

3 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2025★ 1 cited

Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models

Donghang Wu, Haoyang Zhang, Jun Chen +9

Real-time Spoken Language Models (SLMs) struggle to leverage Chain-of-Thought (CoT) reasoning due to the prohibitive latency of generating the entire thought process sequentially.…

cs.CL2025★ 1 cited

Step-Audio 2 Technical Report

Boyong Wu, Chao Yan, Chen Hu +106

This paper presents Step-Audio 2, an end-to-end multi-modal large language model designed for industry-strength audio understanding and speech conversation. By integrating a latent…

cs.CV2025★ 1 cited

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model

Guoqing Ma, Haoyang Huang, Kun Yan +112

We present Step-Video-T2V, a state-of-the-art text-to-video pre-trained model with 30B parameters and the ability to generate videos up to 204 frames in length. A deep compression…

cs.CL2019★ 3 cited

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego

Ming Gong, Linjun Shou, Wutao Lin +5

Deep Neural Networks (DNN) have been widely employed in industry to address various Natural Language Processing (NLP) tasks. However, many engineers find it a big overhead when the…

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