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Hang Zhang

7 papers hereh-index 576 citations10 works total

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

author position
  • first author1
  • middle author5
  • last author1

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

fields
  • cs.CL4
  • cs.AI2
  • cs.SE1
same name
  • Hang Zhang — 20 papers, h 16
  • Hang Zhang — 17 papers, h 21
  • Hang Zhang — 15 papers, h 6
  • Hang Zhang — 13 papers, h 10
  • Hang Zhang — 12 papers, h 12
  • Hang Zhang — 10 papers, h 11

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
collaborators
Showing 2025Show all

4 papers · 1 filter

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

Zero-Shot End-to-End Relation Extraction in Chinese: A Comparative Study of Gemini, LLaMA and ChatGPT

Shaoshuai Du, Yiyi Tao, Yixian Shen +4

This study investigates the performance of various large language models (LLMs) on zero-shot end-to-end relation extraction (RE) in Chinese, a task that integrates entity recogniti…

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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