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researcher

Yan Ma

12 papers hereh-index 7444 citations11 works total

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

author position
  • first author4
  • middle author8

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • cs.CL2
  • cs.LG2
same name
  • Yan Ma — 7 papers, h 6
  • Yan Ma — 7 papers, h 6
  • Yan Ma — 4 papers, h 4
  • Yan Ma — 3 papers, h 4
  • Yan Ma — 3 papers, h 45
  • Yan Ma — 3 papers, h 7

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 citedMMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

4 papers · 2 filters

cs.CV2025

Visual Programmability: A Guide for Code-as-Thought in Chart Understanding

Bohao Tang, Yan Ma, Fei Zhang +6

Chart understanding presents a critical test to the reasoning capabilities of Vision-Language Models (VLMs). Prior approaches face critical limitations: some rely on external tools…

cs.CV2025

Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers

Zhaochen Su, Peng Xia, Hangyu Guo +12

Recent progress in multimodal reasoning has been significantly advanced by textual Chain-of-Thought (CoT), a paradigm where models conduct reasoning within language. This text-cent…

cs.CV2025

Thinking with Generated Images

Ethan Chern, Zhulin Hu, Steffi Chern +5

We present Thinking with Generated Images, a novel paradigm that fundamentally transforms how large multimodal models (LMMs) engage with visual reasoning by enabling them to native…

cs.CV2025

One RL to See Them All: Visual Triple Unified Reinforcement Learning

Yan Ma, Linge Du, Xuyang Shen +7

Reinforcement learning (RL) is becoming an important direction for post-training vision-language models (VLMs), but public training methodologies for unified multimodal RL remain m…

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