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Tao Gui

54 papers hereh-index 7450 citations52 works total

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

author position
  • middle author33
  • last author5

Across the 38 of 54 papers where every author was matched, so the position is known.

fields
  • cs.CL20
  • cs.AI15
  • cs.LG11
  • cs.CV5
  • cs.SD2
  • cs.IR1
same name
  • Tao Gui — 142 papers, h 42
  • Tao Gui — 9 papers, h 2
  • Tao Gui — 3 papers, h 6
  • Tao Gui — 2 papers
  • Tao Gui — 2 papers
  • Tao Gui — 2 papers

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 citedInternLM2 Technical Report

29 citations · 37 across the 45 of their papers we have counts for

collaborators
Showing 2026 · cs.CVShow all

4 papers · 2 filters

cs.CV2026

State-Conditioned Visual Evidence Retrieval for Fine-Grained Perception in Document Vision-Language Models

Mingxu Chai, Chenyu Liu, Ziyu Shen +7

Compared with typical vision-language tasks, document parsing places stronger demands on fine-grained visual perception. Existing vision-language model (VLM)-based parsing approach…

cs.CV2026

Prefix-Adaptive Block Diffusion for Efficient Document Recognition

Mingxu Chai, Ziyu Shen, Chenyu Liu +3

Block Diffusion Models (BDMs) support parallel generation, flexible-length output, and KV caching, making them promising for efficient document parsing. However, existing BDMs bind…

cs.CV2026

ChartE3: A Comprehensive Benchmark for End-to-End Chart Editing

Shuo Li, Jiajun Sun, Zhekai Wang +9

Charts are a fundamental visualization format for structured data analysis. Enabling end-to-end chart editing according to user intent is of great practical value, yet remains chal…

cs.CV2026

MHA2MLA-VLM: Enabling DeepSeek's Economical Multi-Head Latent Attention across Vision-Language Models

Xiaoran Fan, Zhichao Sun, Tao Ji +2

As vision-language models (VLMs) tackle increasingly complex and multimodal tasks, the rapid growth of Key-Value (KV) cache imposes significant memory and computational bottlenecks…

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