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

Amir Hossein Yari

ACL 2026×2评测与基准多语言与语言学可解释性对齐与偏好
新星分新星
59
一作贡献30
核心/参与5
方向广度8
合作网络6
1 一作 · 2 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

2
作者位次 #10/19ACL 2026Poster· Natural Language Processing

Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages

Saeed Almheiri · Bilal Elbouardi · Salsabila Zahirah Pranida · Irina Nikishina · Ashwath Rao B · Parameswari Krishnamurthy · Muhammad Cendekia Airlangga · Rifo Ahmad Genadi · Nguyen Phan Gia Bao · Amir Hossein Yari · Hawau Olamide Toyin · Nurdaulet Mukhituly · Mena Attia · Besher Hassan · Ahmad Fathan Hidayatullah · Tatsuki Kuribayashi · Haonan Li · Suma Bhat · Fajri Koto

摘要

Idiomatic expressions pose a major challenge for multilingual NLP because their meanings shift between figurative and literal usage, often requiring context for accurate interpretation. Prior work has focused on high-resource languages typically evaluates isolated idiom-meaning questions, overloo...

可解释性评测与基准多语言与语言学OpenReview 项目页
一作ACL 2026Poster· Natural Language Processing

Revisiting Metric Reliability for Fine-grained Evaluation of Machine Translation and Summarization in I ndian Languages

Amir Hossein Yari · Kalmit Kulkarni · Ahmad Raza Khan · Fajri Koto

摘要

While automatic metrics drive progress in Machine Translation (MT) and Text Summarization (TS), existing metrics have been developed and validated almost exclusively for English and other high-resource languages. This narrow focus leaves Indian languages—spoken by over 1.5 billion people—largely...

评测与基准对齐与偏好多语言与语言学OpenReview 项目页

常见合作者