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

Dominik Macko

ACL 2026×2KDD 2026多语言与语言学评测与基准社会与人本安全检索与知识
新星分新星
72
一作贡献30
核心/参与21
方向广度13
合作网络6
1 一作 · 3 篇 · ACL 2026 / KDD 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

3
作者位次 #2/5ACL 2026Poster· Natural Language Processing

Authorship Attribution in Multilingual Machine-Generated Texts

Lucio La Cava · Dominik Macko · Robert Moro · Ivan Srba · Andrea Tagarelli

摘要

As Large Language Models (LLMs) have reached human-like fluency and coherence, distinguishing machine-generated text (MGT) from human-written content becomes increasingly difficult. While early efforts in MGT detection have focused on binary classification, the growing landscape and diversity of...

多语言与语言学社会与人本OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

CEAID : Benchmark of Multilingual Machine-Generated Text Detection Methods for C entral E uropean Languages

Dominik Macko · Jakub Kopál

摘要

Machine-generated text detection, as an important task, is predominantly focused on English in research. This makes the existing detectors almost unusable for non-English languages, relying purely on cross-lingual transferability. There exist only a few works focused on any of Central European la...

评测与基准多语言与语言学安全OpenReview 项目页

常见合作者