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

Yu-Gang Jiang

ICML 2026×5ACL 2026×2评测与基准多模态智能体与工具安全代码
新星分资深
25
一作贡献0
核心/参与5
方向广度13
合作网络12
0 一作 · 7 篇 · ICML 2026 / 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

7
作者位次 #4/4ICML 2026Poster· General Machine Learning / Evaluation

Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation

Jinyu Liu · Xincheng Shuai · Henghui Ding · Yu-Gang Jiang

评测与基准多模态OpenReview
作者位次 #6/6ACL 2026Findings· Findings of ACL

Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models

Ziyao Tang · Pengkun Jiao · Bin Zhu · Huiyan Qi · Jingjing Chen · Yu-Gang Jiang

摘要

Video Large Language Models (Vid-LLMs) have demonstrated remarkable performance in video understanding tasks, yet their robustness under conversational interaction remains largely underexplored. In this paper, we identify spatiotemporal sycophancy, a failure mode in which Vid-LLMs retract initial...

多模态安全可解释性OpenReview 项目页
作者位次 #9/9ACL 2026Findings· Findings of ACL

B ackdoor A gent: A Unified Framework for Backdoor Attacks on LLM -based Agents

Yunhao Feng · Yige Li · Yutao Wu · Yingshui Tan · Yanming Guo · Yifan Ding · Kun Zhai · Xingjun Ma · Yu-Gang Jiang

摘要

Large language model (LLM) agents execute tasks through multi-step workflows that combine planning, memory, and tool use. While this design enables autonomy, it also expands the attack surface for backdoor threats. Backdoor triggers injected into specific stages of an agent workflow can persist t...

智能体与工具安全推理OpenReview 项目页

常见合作者