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Liang Wu

9 papers hereh-index 3127 citations10 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.CL3
  • cs.LG1
same name
  • Liang Wu — 26 papers, h 18
  • Liang Wu — 24 papers, h 22
  • Liang Wu — 21 papers, h 27
  • Liang Wu — 16 papers, h 4
  • Liang Wu — 12 papers, h 4
  • Liang Wu — 8 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

activity
20232026
most citedGraphLLM: Boosting Graph Reasoning Ability of Large Language Model

5 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

HunyuanOCR Technical Report

Hunyuan Vision Team, Pengyuan Lyu, Xingyu Wan +29

This paper presents HunyuanOCR, a commercial-grade, open-source, and lightweight (1B parameters) Vision-Language Model (VLM) dedicated to OCR tasks. The architecture comprises a Na…

cs.CV2025

HiDe: Rethinking The Zoom-IN method in High Resolution MLLMs via Hierarchical Decoupling

Xianjie Liu, Yiman Hu, Yixiong Zou +3

Multimodal Large Language Models (MLLMs) have made significant strides in visual understanding tasks. However, their performance on high-resolution images remains suboptimal. While…

cs.CL2025

X-Intelligence 3.0: Training and Evaluating Reasoning LLM for Semiconductor Display

Xiaolin Yan, Yangxing Liu, Jiazhang Zheng +53

Large language models (LLMs) have recently achieved significant advances in reasoning and demonstrated their advantages in solving challenging problems. Yet, their effectiveness in…

cs.LG2025

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models

Xinyuan Wang, Liang Wu, Dongjie Wang +1

Whole-page optimization (WPO) decides how search and recommendation results are surfaced to users, and large language models (LLMs) open a new route to it by treating page generati…

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