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Bowen Yu

42 papers hereh-index 1914.8k citations62 works total

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

author position
  • first author1
  • middle author30

Across the 31 of 42 papers where every author was matched, so the position is known.

fields
  • cs.CL27
  • cs.AI4
  • cs.CV4
  • cs.LG4
  • cs.CR1
  • cs.DC1
same name
  • Bowen Yu — 17 papers, h 14
  • Bowen Yu — 4 papers, h 1
  • Bowen Yu — 3 papers, h 1
  • Bowen Yu — 3 papers, h 2
  • Bowen Yu — 2 papers, h 3
  • Bowen Yu — 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

activity
20242026
most citedQwen3-VL Technical Report

14 citations · 16 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2026

HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning

Shenzhi Wang, Shixuan Liu, Jing Zhou +8

Vision-language models (VLMs) show strong multimodal capabilities but still struggle with fine-grained vision-language reasoning. We find that long chain-of-thought (CoT) reasoning…

cs.CV2025

Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model

Team Seedance, Heyi Chen, Siyan Chen +194

Recent strides in video generation have paved the way for unified audio-visual generation. In this work, we present Seedance 1.5 pro, a foundational model engineered specifically f…

cs.CV2025★ 14 cited

Qwen3-VL Technical Report

Shuai Bai, Yuxuan Cai, Ruizhe Chen +61

We introduce Qwen3-VL, the most capable vision-language model in the Qwen series to date, achieving superior performance across a broad range of multimodal benchmarks. It natively…

cs.CV2025

Qwen-Image Technical Report

Chenfei Wu, Jiahao Li, Jingren Zhou +36

We present Qwen-Image, an image generation foundation model in the Qwen series that achieves significant advances in complex text rendering and precise image editing. To address th…

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