MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Fei, Fu, Xingyu, Huang, James Y., Li, Zekun, Liu, Qin, Liu, Xiaogeng, Ma, Mingyu Derek, Xu, Nan, Zhou, Wenxuan, Zhang, Kai, Yan, Tianyi Lorena, Mo, Wenjie Jacky, Liu, Hsiang-Hui, Lu, Pan, Li, Chunyuan, Xiao, Chaowei, Chang, Kai-Wei, Roth, Dan, Zhang, Sheng, Poon, Hoifung, Chen, Muhao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
by: Liu, Xiaogeng, et al.
Published: (2023)
by: Liu, Xiaogeng, et al.
Published: (2023)
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
by: Zhou, Wenxuan, et al.
Published: (2023)
by: Zhou, Wenxuan, et al.
Published: (2023)
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
by: Wang, Yu, et al.
Published: (2024)
by: Wang, Yu, et al.
Published: (2024)
ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails
by: Wen, Xiaofei, et al.
Published: (2025)
by: Wen, Xiaofei, et al.
Published: (2025)
AutoDAN-Reasoning: Enhancing Strategies Exploration based Jailbreak Attacks with Test-Time Scaling
by: Liu, Xiaogeng, et al.
Published: (2025)
by: Liu, Xiaogeng, et al.
Published: (2025)
MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
by: Zhang, Yaolun, et al.
Published: (2025)
by: Zhang, Yaolun, et al.
Published: (2025)
SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation
by: Ma, Yingzi, et al.
Published: (2026)
by: Ma, Yingzi, et al.
Published: (2026)
DebugLM: Learning Traceable Training Data Provenance for LLMs
by: Mo, Wenjie Jacky, et al.
Published: (2026)
by: Mo, Wenjie Jacky, et al.
Published: (2026)
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
by: Xu, Nan, et al.
Published: (2024)
by: Xu, Nan, et al.
Published: (2024)
MetaScale: Test-Time Scaling with Evolving Meta-Thoughts
by: Liu, Qin, et al.
Published: (2025)
by: Liu, Qin, et al.
Published: (2025)
OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas
by: Huang, James Y., et al.
Published: (2025)
by: Huang, James Y., et al.
Published: (2025)
Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection
by: Li, Bangzheng, et al.
Published: (2025)
by: Li, Bangzheng, et al.
Published: (2025)
ROM: Real-time Overthinking Mitigation via Streaming Detection and Intervention
by: Wang, Xinyan, et al.
Published: (2026)
by: Wang, Xinyan, et al.
Published: (2026)
OET: Optimization-based prompt injection Evaluation Toolkit
by: Pan, Jinsheng, et al.
Published: (2025)
by: Pan, Jinsheng, et al.
Published: (2025)
RePD: Defending Jailbreak Attack through a Retrieval-based Prompt Decomposition Process
by: Wang, Peiran, et al.
Published: (2024)
by: Wang, Peiran, et al.
Published: (2024)
Offset Unlearning for Large Language Models
by: Huang, James Y., et al.
Published: (2024)
by: Huang, James Y., et al.
Published: (2024)
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
by: Wang, Fei, et al.
Published: (2024)
by: Wang, Fei, et al.
Published: (2024)
ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation
by: Liu, Qin, et al.
Published: (2025)
by: Liu, Qin, et al.
Published: (2025)
AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection
by: Luo, Weidi, et al.
Published: (2025)
by: Luo, Weidi, et al.
Published: (2025)
RedCoder: Automated Multi-Turn Red Teaming for Code LLMs
by: Mo, Wenjie Jacky, et al.
Published: (2025)
by: Mo, Wenjie Jacky, et al.
Published: (2025)
Automatic and Universal Prompt Injection Attacks against Large Language Models
by: Liu, Xiaogeng, et al.
Published: (2024)
by: Liu, Xiaogeng, et al.
Published: (2024)
Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models
by: Xu, Jiashu, et al.
Published: (2023)
by: Xu, Jiashu, et al.
Published: (2023)
ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models
by: Liu, Xiaogeng, et al.
Published: (2026)
by: Liu, Xiaogeng, et al.
Published: (2026)
When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning
by: Liu, Xiaogeng, et al.
Published: (2026)
by: Liu, Xiaogeng, et al.
Published: (2026)
Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges
by: Liu, Qin, et al.
Published: (2024)
by: Liu, Qin, et al.
Published: (2024)
DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Learning Efficient Guardrails for Compliance
by: Wen, Xiaofei, et al.
Published: (2025)
by: Wen, Xiaofei, et al.
Published: (2025)
Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration
by: Huang, James Y., et al.
Published: (2025)
by: Huang, James Y., et al.
Published: (2025)
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
by: Li, Hao, et al.
Published: (2024)
by: Li, Hao, et al.
Published: (2024)
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning
by: Zhang, Sheng, et al.
Published: (2025)
by: Zhang, Sheng, et al.
Published: (2025)
Video Models Can Reason with Verifiable Rewards
by: Zhu, Tinghui, et al.
Published: (2026)
by: Zhu, Tinghui, et al.
Published: (2026)
When Vision Speaks for Sound
by: Wen, Xiaofei, et al.
Published: (2026)
by: Wen, Xiaofei, et al.
Published: (2026)
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations
by: Mo, Wenjie, et al.
Published: (2023)
by: Mo, Wenjie, et al.
Published: (2023)
NeedleBench: Evaluating LLM Retrieval and Reasoning Across Varying Information Densities
by: Li, Mo, et al.
Published: (2024)
by: Li, Mo, et al.
Published: (2024)
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model
by: Wang, Xiyao, et al.
Published: (2025)
by: Wang, Xiyao, et al.
Published: (2025)
JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks
by: Luo, Weidi, et al.
Published: (2024)
by: Luo, Weidi, et al.
Published: (2024)
Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models
by: Yu, Zhiyuan, et al.
Published: (2024)
by: Yu, Zhiyuan, et al.
Published: (2024)
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment
by: Liu, Qin, et al.
Published: (2024)
by: Liu, Qin, et al.
Published: (2024)
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
by: Liu, Qin, et al.
Published: (2023)
by: Liu, Qin, et al.
Published: (2023)
VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap
by: Liu, Qin, et al.
Published: (2025)
by: Liu, Qin, et al.
Published: (2025)
Similar Items
-
AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models
by: Liu, Xiaogeng, et al.
Published: (2023) -
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
by: Zhou, Wenxuan, et al.
Published: (2023) -
AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting
by: Wang, Yu, et al.
Published: (2024) -
ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails
by: Wen, Xiaofei, et al.
Published: (2025) -
AutoDAN-Reasoning: Enhancing Strategies Exploration based Jailbreak Attacks with Test-Time Scaling
by: Liu, Xiaogeng, et al.
Published: (2025)