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Bo Zhu

3 papers hereh-index 4225 citations5 works total

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

author position
  • middle author3

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

fields
  • cs.CL2
  • cs.CV1
same name
  • Bo Zhu — 17 papers, h 5
  • Bo Zhu — 9 papers, h 8
  • Bo Zhu — 9 papers, h 20
  • Bo Zhu — 9 papers, h 3
  • Bo Zhu — 4 papers
  • Bo Zhu — 3 papers, h 4

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 citedSkywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models

4 citations · 4 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation

Peiyu Wang, Yi Peng, Yimeng Gan +12

We introduce Skywork UniPic, a 1.5 billion-parameter autoregressive model that unifies image understanding, text-to-image generation, and image editing within a single architecture…

cs.CL2024★ 4 cited

Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models

Tianwen Wei, Bo Zhu, Liang Zhao +13

In this technical report, we introduce the training methodologies implemented in the development of Skywork-MoE, a high-performance mixture-of-experts (MoE) large language model (L…

cs.CL2024

LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models

Liang Zhao, Tianwen Wei, Liang Zeng +12

We introduce LongSkywork, a long-context Large Language Model (LLM) capable of processing up to 200,000 tokens. We provide a training recipe for efficiently extending context lengt…

cs.CL2023★ 11 cited

Skywork: A More Open Bilingual Foundation Model

Tianwen Wei, Liang Zhao, Lichang Zhang +27

In this technical report, we present Skywork-13B, a family of large language models (LLMs) trained on a corpus of over 3.2 trillion tokens drawn from both English and Chinese texts…

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