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Qiufeng Wang

15 papers hereh-index 599 citations27 works total

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

author position
  • middle author9
  • last author5

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.CL4
  • cs.AI1
  • cs.LG1
same name
  • Qiufeng Wang — 10 papers
  • Qiufeng Wang — 8 papers, h 14
  • Qiufeng Wang — 4 papers, h 2
  • Qiufeng Wang — 3 papers
  • Qiufeng Wang — 3 papers, h 3
  • Qiufeng Wang — 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

activity
20232026
most citedGenerating Valid and Natural Adversarial Examples with Large Language Models

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Reactivating Test-Time Scaling for Plane Geometry Problem Solving

Xiaoqiang Kang, Shengen Wu, Maizhen Ning +5

Plane geometry problem (PGP) solving has become a critical benchmark for multimodal reasoning because it requires accurate visual perception and precise multi-step symbolic deducti…

cs.CL2025

Can GRPO Boost Complex Multimodal Table Understanding?

Xiaoqiang Kang, Shengen Wu, Zimu Wang +7

Existing table understanding methods face challenges due to complex table structures and intricate logical reasoning. While supervised finetuning (SFT) dominates existing research,…

cs.CL2024

Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation

Xiaoqiang Kang, Zimu Wang, Xiaobo Jin +3

Solving tabular math word problems (TMWPs) has become a critical role in evaluating the mathematical reasoning ability of large language models (LLMs), where large-scale TMWP sampl…

cs.CL2023★ 1 cited

Generating Valid and Natural Adversarial Examples with Large Language Models

Zimu Wang, Wei Wang, Qi Chen +2

Deep learning-based natural language processing (NLP) models, particularly pre-trained language models (PLMs), have been revealed to be vulnerable to adversarial attacks. However,…

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