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

Abdulrazzaq Alnajjar

ACL 2026评测与基准社会与人本数据与预训练
新星分贡献者
34
一作贡献0
核心/参与5
方向广度6
合作网络12
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 #17/25ACL 2026Findings· Findings of ACL

Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection

Zhiwei Liu · Yupeng Cao · Yuechen Jiang · Mohsinul Kabir · Polydoros Giannouris · Chen Xu · Ziyang Xu · Tianlei Zhu · Md. Tariquzzaman · Triantafillos Papadopoulos · Yan Wang · Lingfei Qian · Xueqing Peng · Zhuohan Xie · Ye Yuan · Saeed Almheiri · Abdulrazzaq Alnajjar · Ming-Bin Chen · Harry Stuart · Paul Thompson · Prayag Tiwari · Alejandro Lopez-Lira · Xue Liu · Jimin Huang · Sophia Ananiadou

摘要

Large language models (LLMs) have been widely applied across various domains of finance. Since their training data are largely derived from human-authored corpora, LLMs may inherit a range of human biases. Behavioral biases can lead to instability and uncertainty in decision-making, particularly...

评测与基准社会与人本数据与预训练OpenReview 项目页

常见合作者