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

Xi Yang

ACL 2026×2评测与基准多语言与语言学社会与人本多模态可解释性
新星分贡献者
34
一作贡献0
核心/参与10
方向广度10
合作网络3
0 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 #10/12ACL 2026Poster· Natural Language Processing

L ao B ench: A Large-Scale Multidimensional L ao Benchmark for Large Language Models

Jian Gao · richeng xuan · Zhaolu Kang · Dingshi Liao · Wenxin Huang · Zongmou Huang · Yangdi Xu · Bowen Qin · Zheqi He · Xi Yang · Changjinli · Yonghua Lin

摘要

The rapid advancement of large language models (LLMs) has not been matched by their evaluation in low-resource languages, especially Southeast Asian languages like Lao. To fill this gap, we introduce LaoBench, the first large-scale, high-quality, and multidimensional benchmark for assessing LLM l...

多语言与语言学社会与人本评测与基准OpenReview 项目页
作者位次 #7/9ACL 2026Findings· Findings of ACL

E motion T alk: An Interactive C hinese Multimodal Emotion Dataset With Rich Annotations

Haoqin Sun · Jinghua Zhao · Xuechen Wang · Shiwan Zhao · Jiaming Zhou · Hui Wang · Xi Yang · Yequan Wang · Yonghua Lin

摘要

The advancement of Multimodal Emotion Recognition (MER) in Chinese is significantly hindered by the scarcity of high-quality, spontaneous dialogue datasets compared to their English counterparts. In this work, we introduce EmotionTalk, the first interactive Chinese multimodal dataset designed to...

多模态可解释性评测与基准OpenReview 项目页

常见合作者