StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs
Fuente:
arXiv
Guardado en:
| Autores principales: | Luo, Yang, Liu, Xinran, Ji, Tiantian, Yin, Zhiyi, Peng, Lingyun, Li, Shuyu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts
por: Luo, Yang, et al.
Publicado: (2026)
por: Luo, Yang, et al.
Publicado: (2026)
Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?
por: Lin, Fei, et al.
Publicado: (2025)
por: Lin, Fei, et al.
Publicado: (2025)
GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic
por: Zhang, Tianyuan, et al.
Publicado: (2026)
por: Zhang, Tianyuan, et al.
Publicado: (2026)
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models
por: Zhang, Xiangxiang, et al.
Publicado: (2025)
por: Zhang, Xiangxiang, et al.
Publicado: (2025)
CSR-Bench: A Benchmark for Evaluating the Cross-modal Safety and Reliability of MLLMs
por: Liu, Yuxuan, et al.
Publicado: (2026)
por: Liu, Yuxuan, et al.
Publicado: (2026)
On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment
por: Yin, Bo, et al.
Publicado: (2026)
por: Yin, Bo, et al.
Publicado: (2026)
Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions
por: Lahlou, Salem
Publicado: (2025)
por: Lahlou, Salem
Publicado: (2025)
The Forgotten Shield: Safety Grafting in Parameter-Space for Medical MLLMs
por: Zhao, Jiale, et al.
Publicado: (2025)
por: Zhao, Jiale, et al.
Publicado: (2025)
StructEval: Benchmarking LLMs' Capabilities to Generate Structural Outputs
por: Yang, Jialin, et al.
Publicado: (2025)
por: Yang, Jialin, et al.
Publicado: (2025)
Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Effective Loss Landscapes via the Fokker--Planck Equation
por: Yin, Shuyu, et al.
Publicado: (2024)
por: Yin, Shuyu, et al.
Publicado: (2024)
Struct-X: Enhancing Large Language Models Reasoning with Structured Data
por: Tan, Xiaoyu, et al.
Publicado: (2024)
por: Tan, Xiaoyu, et al.
Publicado: (2024)
StructSynth: Leveraging LLMs for Structure-Aware Tabular Data Synthesis in Low-Data Regimes
por: Liu, Siyi, et al.
Publicado: (2025)
por: Liu, Siyi, et al.
Publicado: (2025)
OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas
por: Huang, James Y., et al.
Publicado: (2025)
por: Huang, James Y., et al.
Publicado: (2025)
Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion
por: Huang, ShiYing, et al.
Publicado: (2026)
por: Huang, ShiYing, et al.
Publicado: (2026)
Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs
por: Wen, Ming, et al.
Publicado: (2026)
por: Wen, Ming, et al.
Publicado: (2026)
VeriStruct: AI-assisted Automated Verification of Data-Structure Modules in Verus
por: Sun, Chuyue, et al.
Publicado: (2025)
por: Sun, Chuyue, et al.
Publicado: (2025)
AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines
por: Li, Tingxi, et al.
Publicado: (2026)
por: Li, Tingxi, et al.
Publicado: (2026)
StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video Understanding
por: Lin, Junming, et al.
Publicado: (2024)
por: Lin, Junming, et al.
Publicado: (2024)
FairReason: Balancing Reasoning and Social Bias in MLLMs
por: Pan, Zhenyu, et al.
Publicado: (2025)
por: Pan, Zhenyu, et al.
Publicado: (2025)
StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
por: Li, Zhuoqun, et al.
Publicado: (2024)
por: Li, Zhuoqun, et al.
Publicado: (2024)
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning
por: Yin, Shuyu, et al.
Publicado: (2024)
por: Yin, Shuyu, et al.
Publicado: (2024)
Low-Resource Safety Failures Are Action Failures, Not Representation Failures
por: Aziz, Rashad, et al.
Publicado: (2026)
por: Aziz, Rashad, et al.
Publicado: (2026)
FlexStructRAG: Flexible Structure-Aware Multi-Granular Relational Retrieval for RAG
por: Chen, Mengzhu, et al.
Publicado: (2026)
por: Chen, Mengzhu, et al.
Publicado: (2026)
StructXLIP: Enhancing Vision-language Models with Multimodal Structural Cues
por: Ruan, Zanxi, et al.
Publicado: (2026)
por: Ruan, Zanxi, et al.
Publicado: (2026)
StructLens: A Structural Lens for Language Models via Maximum Spanning Trees
por: Sakajo, Haruki, et al.
Publicado: (2026)
por: Sakajo, Haruki, et al.
Publicado: (2026)
Image2Struct: Benchmarking Structure Extraction for Vision-Language Models
por: Roberts, Josselin Somerville, et al.
Publicado: (2024)
por: Roberts, Josselin Somerville, et al.
Publicado: (2024)
RL-Struct: A Lightweight Reinforcement Learning Framework for Reliable Structured Output in LLMs
por: Hu, Ruike, et al.
Publicado: (2025)
por: Hu, Ruike, et al.
Publicado: (2025)
Enhancing Cognitive Diagnosis by Modeling Learner Cognitive Structure State
por: Chen, Zhifu, et al.
Publicado: (2024)
por: Chen, Zhifu, et al.
Publicado: (2024)
Diffusion-CAM: Faithful Visual Explanations for dMLLMs
por: Zuo, Haomin, et al.
Publicado: (2026)
por: Zuo, Haomin, et al.
Publicado: (2026)
StructRL: Recovering Dynamic Programming Structure from Learning Dynamics in Distributional Reinforcement Learning
por: Nowak, Ivo
Publicado: (2026)
por: Nowak, Ivo
Publicado: (2026)
StructPrune: Structured Global Pruning asymptotics with $\mathcal{O}(\sqrt{N})$ GPU Memory
por: Song, Xinyuan, et al.
Publicado: (2025)
por: Song, Xinyuan, et al.
Publicado: (2025)
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
por: Li, Caorui, et al.
Publicado: (2025)
por: Li, Caorui, et al.
Publicado: (2025)
The Geometry of Alignment Collapse: When Fine-Tuning Breaks Safety
por: Springer, Max, et al.
Publicado: (2026)
por: Springer, Max, et al.
Publicado: (2026)
When Context Flips, Safety Breaks: Diagnosing Brittle Safety in Aligned Language Models
por: Choi, Dasol, et al.
Publicado: (2026)
por: Choi, Dasol, et al.
Publicado: (2026)
StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation
por: Cao, Boxi, et al.
Publicado: (2024)
por: Cao, Boxi, et al.
Publicado: (2024)
StructMem: Structured Memory for Long-Horizon Behavior in LLMs
por: Xu, Buqiang, et al.
Publicado: (2026)
por: Xu, Buqiang, et al.
Publicado: (2026)
Affordance Benchmark for MLLMs
por: Wang, Junying, et al.
Publicado: (2025)
por: Wang, Junying, et al.
Publicado: (2025)
Redundancy Principles for MLLMs Benchmarks
por: Zhang, Zicheng, et al.
Publicado: (2025)
por: Zhang, Zicheng, et al.
Publicado: (2025)
Breaking the Martingale Curse: Multi-Agent Debate via Asymmetric Cognitive Potential Energy
por: Liu, Yuhan, et al.
Publicado: (2026)
por: Liu, Yuhan, et al.
Publicado: (2026)
From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities
por: Jiang, Shixin, et al.
Publicado: (2024)
por: Jiang, Shixin, et al.
Publicado: (2024)
Ejemplares similares
-
ShadowMerge: A Novel Poisoning Attack on Graph-Based Agent Memory via Relation-Channel Conflicts
por: Luo, Yang, et al.
Publicado: (2026) -
Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?
por: Lin, Fei, et al.
Publicado: (2025) -
GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic
por: Zhang, Tianyuan, et al.
Publicado: (2026) -
StructVRM: Aligning Multimodal Reasoning with Structured and Verifiable Reward Models
por: Zhang, Xiangxiang, et al.
Publicado: (2025) -
CSR-Bench: A Benchmark for Evaluating the Cross-modal Safety and Reliability of MLLMs
por: Liu, Yuxuan, et al.
Publicado: (2026)