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Lun Wang

8 papers hereh-index 6114 citations9 works total

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

author position
  • first author1
  • middle author5
  • last author2

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.AI2
  • cs.SE2
  • cs.CV1
same name
  • Lun Wang — 13 papers, h 14
  • Lun Wang — 5 papers, h 4
  • Lun Wang — 5 papers, h 1
  • Lun Wang — 3 papers, h 3
  • Lun Wang — 3 papers, h 3
  • Lun Wang — 2 papers, h 14

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 citedNEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training

2 citations · 3 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.SE2025★ 1 cited

Performance Review on LLM for solving leetcode problems

Lun Wang, Chuanqi Shi, Shaoshui Du +5

This paper presents a comprehensive performance evaluation of Large Language Models (LLMs) in solving programming challenges from Leetcode, a widely used platform for algorithm pra…

cs.SE2025

Comparative Analysis of Large Language Models for Context-Aware Code Completion using SAFIM Framework

Hang Zhang, Yanxin Shen, Lun Wang +4

The advent of Large Language Models (LLMs) has revolutionized code completion, transforming it into a more intelligent and context-aware feature in modern integrated development en…

cs.AI2025

Deep Semantic Graph Learning via LLM based Node Enhancement

Chuanqi Shi, Yiyi Tao, Hang Zhang +4

Graph learning has attracted significant attention due to its widespread real-world applications. Current mainstream approaches rely on text node features and obtain initial node e…

cs.CL2025

Comparative Analysis of Listwise Reranking with Large Language Models in Limited-Resource Language Contexts

Yanxin Shen, Lun Wang, Chuanqi Shi +4

Large Language Models (LLMs) have demonstrated significant effectiveness across various NLP tasks, including text ranking. This study assesses the performance of large language mod…

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