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Shuang Chen

11 papers hereh-index 3105 citations12 works total

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

author position
  • first author2
  • middle author9

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI3
  • cs.CV3
  • cs.LG1
same name
  • Shuang Chen — 13 papers, h 5
  • Shuang Chen — 8 papers, h 4
  • Shuang Chen — 7 papers, h 4
  • Shuang Chen — 6 papers, h 4
  • Shuang Chen — 5 papers, h 3
  • Shuang Chen — 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

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents

Shijue Huang, Hangyu Guo, Guanting Dong +8

Multimodal deep search requires an agent to solve open-world problems by chaining search, tool use, and visual reasoning over evolving textual and visual context. Two bottlenecks l…

cs.CL2026

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation

Sike Xiang, Shuang Chen, Kevin Qinghong Lin +4

Routine clinical check-up reports combine laboratory measurements, physiological assessments, imaging findings and visually structured information, but rarely tell patients what to…

cs.CL2026

Revealing the Learning Dynamics of Long-Context Continual Pre-training

Yupu Liang, Shuang Chen, Guanwei Zhang +2

Existing studies on Long-Context Continual Pre-training (LCCP) mainly focus on small-scale models and limited data regimes (tens of billions of tokens). We argue that directly migr…

cs.CL2025

ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping

Shuang Chen, Yue Guo, Yimeng Ye +7

Recent advances in multimodal large reasoning models (MLRMs) have substantially improved their ability to solve complex textual and visual tasks. However, these models tend to over…

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