·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
The sameness problem behind those unappetizing AI-generated menus1h◆ExecRetrieval: Measuring the Functional-Correctness Gap in Code-Embedding Retrieval1h◆MasterControl Seventeen Every Time1h◆GrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving1h◆PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing1h◆HalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews1h◆The Attention Triangle in Audio-Video Models1h◆CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception1h◆Semantic Bayesian World Models1h◆Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations1h◆Bioinfoysis Technical Report1h◆STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation1h◆Xiaomi-TabLDM: A Tabular Foundation Model Technical Report1h◆Inferring Affective Consciousness in an Artificial Agent: A Case Study1h◆Lose the Order, Keep the Hierarchy: Deordering HTN Plans1h◆Value-Preserving Architectures for Agentic AI Systems1h◆Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meeting1h◆Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding1h◆FiMI Banking: A Sovereign Model for Indian Retail Banking1h◆Privacy-Preserving Topology-Guided Safety for LLM-Based Multi-Agent Systems via Federated Graph Learning1h◆The sameness problem behind those unappetizing AI-generated menus1h◆ExecRetrieval: Measuring the Functional-Correctness Gap in Code-Embedding Retrieval1h◆MasterControl Seventeen Every Time1h◆GrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving1h◆PPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing1h◆HalluPeer: A Taxonomy-driven Benchmark for Detecting Hallucinations in Scientific Peer Reviews1h◆The Attention Triangle in Audio-Video Models1h◆CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception1h◆Semantic Bayesian World Models1h◆Adapting to Evolving Requirements: Agentic AI for Retail Supply Chain Operations1h◆Bioinfoysis Technical Report1h◆STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation1h◆Xiaomi-TabLDM: A Tabular Foundation Model Technical Report1h◆Inferring Affective Consciousness in an Artificial Agent: A Case Study1h◆Lose the Order, Keep the Hierarchy: Deordering HTN Plans1h◆Value-Preserving Architectures for Agentic AI Systems1h◆Speak for Me: Giving LLMs the Situational Awareness to Participate in a Meeting1h◆Towards Numerical TOHTN Planning with SMT-based HTN-SAT Encoding1h◆FiMI Banking: A Sovereign Model for Indian Retail Banking1h◆Privacy-Preserving Topology-Guided Safety for LLM-Based Multi-Agent Systems via Federated Graph Learning1h◆
News/Jailbreaking Multimodal Large Language Models using Multi-Clip Video
arxiv
PublishedJune 2, 2026 at 4:00 AM
—neutral

Jailbreaking Multimodal Large Language Models using Multi-Clip Video

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2606.02111v1 Announce Type: cross Abstract: As multimodal large language models (MLLMs) have advanced to process video inputs, concerns have emerged about their potential for malicious misuse. Prior jailbreak studies have shown that safety alignment in MLLMs can be bypassed through visual inpu

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivExecRetrieval: Measuring the Functional-Correctness Gap in Code-Embedding Retrieval1harxivMasterControl Seventeen Every Time1harxivGrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving1harxivPPO-STGNN: A Proximal Policy Optimization Approach with Spatio-Temporal Graph Neural Networks for DAG Task Scheduling in Cloud-Edge-End Computing1h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews