Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Geng Li

Geng Li

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

AI×3Crypto×2Vision×1Social Networks×1

Frequent co-authors

Xiaogeng Liu2×
Chaowei Xiao2×
Yingzi Ma1×
Zhengyue Zhao1×
Minhui Xue1×
Yue Zhao1×

Research Timeline

2026
Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution

The paper identifies that background 'heartbeat' execution in personal AI agents like Claw can silently pollute the agent's memory with external misinformation, influencing user behavior without the user's knowledge or explicit prompt injection.

OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning

OccamToken introduces a training-free, adaptive token pruning framework that replaces fixed token budgets with relative evidence testing against a register-based reference, significantly improving VLM efficiency while maintaining high accuracy.

MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models

MaskForge is a novel, adaptive, black-box attack framework that significantly improves jailbreaking diffusion large language models (dLLMs) by treating red-teaming as an optimized search over reusable structural patterns.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIRecentJun 1, 2026

MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models

Yingzi Ma, Zhengyue Zhao, Xiaogeng Liu, Minhui Xue +2 more

MaskForge is a novel, adaptive, black-box attack framework that significantly improves jailbreaking diffusion large language models (dLLMs) by treating red-teaming as an optimized search over reusable…

View →
cs.CVcs.AIRecentMay 28, 2026

OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning

Geng Li, Guohao Chen, Ting Chen, Shilin Shan +5 more

OccamToken introduces a training-free, adaptive token pruning framework that replaces fixed token budgets with relative evidence testing against a register-based reference, significantly improving VLM…

View →
cs.CRcs.AIcs.SIRecentMar 24, 2026

Mind Your HEARTBEAT! Claw Background Execution Inherently Enables Silent Memory Pollution

Yechao Zhang, Shiqian Zhao, Jie Zhang, Gelei Deng +4 more

The paper identifies that background 'heartbeat' execution in personal AI agents like Claw can silently pollute the agent's memory with external misinformation, influencing user behavior without the u…

View →