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

Nils Lukas

ACL 2026×2CVPR 2026ICLR 2026多模态安全推理效率与系统社会与人本
新星分贡献者
63
一作贡献0
核心/参与26
方向广度16
合作网络12
0 一作 · 4 篇 · ACL 2026 / CVPR 2026 / ICLR 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

4
作者位次 #4/4ICLR 2026Poster· Social Aspects / Privacy-preserving Statistics and Machine Learning

DP-Fusion: Token-Level Differentially Private Inference for Large Language Models

Rushil Thareja · Preslav Nakov · Praneeth Vepakomma · Nils Lukas

安全效率与系统社会与人本OpenReview
作者位次 #5/6ACL 2026Poster· Natural Language Processing

Forest Before Trees: Latent Superposition for Efficient Visual Reasoning

Yubo Wang · Juntian Zhang · Yichen WU · Yankai Lin · Nils Lukas · Yuhan Liu

摘要

While Chain-of-Thought empowers Large Vision-Language Models with multi-step reasoning, explicit textual rationales suffer from an information bandwidth bottleneck, where continuous visual details are discarded during discrete tokenization. Recent latent reasoning methods attempt to address this...

推理可解释性多模态OpenReview 项目页
作者位次 #5/8ACL 2026Findings· Findings of ACL

Detecting AI -Generated Video: A Vision–Language Dual-View Survey

Dylan Xinming Hou · Juntian Zhang · Xu Gu · Yichen WU · Nils Lukas · Gus Xia · Xiuying Chen · Yuhan Liu

摘要

The evolving realism of AI-generated Videos (AIGC-V) is rapidly rendering traditional artifact-centric detection insufficient, necessitating a paradigm shift from low-level inspection to high-level semantic verification. This paper presents a comprehensive survey of AIGC-V detection, reframing th...

多模态评测与基准推理OpenReview 项目页

常见合作者