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

Kai He

AAAI 2026×2ACL 2026×2ICML 2026多模态可解释性社会与人本安全评测与基准
新星分贡献者
66
一作贡献0
核心/参与32
方向广度16
合作网络12
0 一作 · 5 篇 · AAAI 2026 / ACL 2026 / ICML 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

5
作者位次 #2/7ACL 2026Poster· Natural Language Processing

M ed F orge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning

Zhihui Chen · Kai He · Qingyuan Lei · Bin Pu · Jian Zhang · Yuling Xu · Mengling Feng

摘要

Text-guided image editors can now manipulate authentic medical scans with high fidelity, enabling lesion implantation/removal that threatens clinical trust and safety. Existing defenses are inadequate for healthcare. Medical detectors are largely black-box, while MLLM-based explainers are typical...

社会与人本安全多模态OpenReview 项目页
作者位次 #5/7ACL 2026Findings· Findings of ACL

Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task Evaluation

Qiong Wu · Tan Yue · Jianxin Liang · Zhen Li · Kai He · Shuai Zhao · Dongyan Zhao

摘要

The rapid progress of large language models (LLMs) has increased the demand for efficient and reliable evaluation of question answering (QA) systems. Existing evaluation methods either rely on rule-based matching with shallow semantic understanding or adopt LLM-as-a-Judge approaches that incur hi...

评测与基准效率与系统可解释性OpenReview 项目页

常见合作者