paper.dinq.meAI 与前沿科学顶会 · 学术新星雷达
登录 DINQ
返回新星榜
CC

Changjian Chen

ACL 2026社会与人本数据与预训练检索与知识
新星分资深
12
一作贡献0
核心/参与0
方向广度6
合作网络6
0 一作 · 1 篇 · ACL 2026

获取完整研究档案

首次获取该候选人的完整档案及 StartLux 评估共 20 积分;每位用户单独解锁,之后查看免费。主动刷新 20 积分。

联系方式

实时查找电子邮箱,费用不超过20积分;未找到邮箱不扣费。

2026 顶会论文

1
作者位次 #7/7ACL 2026Poster· Natural Language Processing

Integrating Data Validation with Large Language Models for Regulation-Guided Tabular Anomaly Detection

Haoliang Huang · Zihuang Cai · Zhuo Tang · Yifan Liu · Chen Tian · Kenli Li · Changjian Chen

摘要

In many real-world applications, such as medical insurance, many regulations exist that define how data should comply with certain standards. Auditors typically use these regulations to identify anomalies in tabular data. However, existing tabular anomaly detection methods often focus on detectin...

社会与人本数据与预训练检索与知识OpenReview 项目页

常见合作者