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

Dong Yu

ACL 2026×2推理对齐与偏好社会与人本评测与基准可解释性
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 #6/7ACL 2026Poster· Natural Language Processing

SPAGB ias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models

Binxian Su · Haoye Lou · Shucheng Zhu · Weikang Wang · Ying Liu · Dong Yu · Pengyuan Liu

摘要

Large language models (LLMs) are being increasingly used in urban planning, but since gendered space theory highlights how gender hierarchies are embedded in spatial organization, there is concern that LLMs may reproduce or amplify such biases. We introduce SPAGBias — the first systematic framewo...

推理对齐与偏好社会与人本OpenReview 项目页
作者位次 #4/6ACL 2026Poster· Natural Language Processing

Beyond Detection: Evaluating Fallacy Awareness of LLM s in Interactive Scenarios

Conghui Niu · Ningxin Wu · Ziran Zhao · Dong Yu · Chen Kang · Pengyuan Liu

摘要

Large Language Models (LLMs) often fail to recognize fallacious reasoning in real-world interactions, despite strong performance on static fallacy detection tasks. We define this ability as fallacy awareness , the capacity to autonomously perceive and resist fallacies in dynamic, pragmatic contex...

评测与基准推理可解释性OpenReview 项目页

常见合作者