2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
AltGen: AI-Driven Alt Text Generation for Enhancing EPUB Accessibility
Yixian Shen, Hang Zhang, Yanxin Shen +4
Digital accessibility is a cornerstone of inclusive content delivery, yet many EPUB files fail to meet fundamental accessibility standards, particularly in providing descriptive al…
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training
Yiyi Tao, Zhuoyue Wang, Hang Zhang +1
The success of Vision Language Models (VLMs) on various vision-language tasks heavily relies on pre-training with large scale web-crawled datasets. However, the noisy and incomplet…