Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Hao, Qu, Lizhen, Shareghi, Ehsan, Haffari, Gholamreza |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models
by: Yang, Hao, et al.
Published: (2025)
by: Yang, Hao, et al.
Published: (2025)
Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models
by: Yang, Hao, et al.
Published: (2024)
by: Yang, Hao, et al.
Published: (2024)
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights
by: Yang, Hao, et al.
Published: (2024)
by: Yang, Hao, et al.
Published: (2024)
Resurfacing Paralinguistic Awareness in Large Audio Language Models
by: Yang, Hao, et al.
Published: (2026)
by: Yang, Hao, et al.
Published: (2026)
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues
by: Hua, Yuncheng, et al.
Published: (2024)
by: Hua, Yuncheng, et al.
Published: (2024)
Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models
by: Wang, Minghan, et al.
Published: (2024)
by: Wang, Minghan, et al.
Published: (2024)
Simultaneous Machine Translation with Large Language Models
by: Wang, Minghan, et al.
Published: (2023)
by: Wang, Minghan, et al.
Published: (2023)
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models
by: Wu, Minghao, et al.
Published: (2024)
by: Wu, Minghao, et al.
Published: (2024)
Discrete Minds in a Continuous World: Do Language Models Know Time Passes?
by: Wang, Minghan, et al.
Published: (2025)
by: Wang, Minghan, et al.
Published: (2025)
Towards Inference-time Scaling for Continuous Space Reasoning
by: Wang, Minghan, et al.
Published: (2025)
by: Wang, Minghan, et al.
Published: (2025)
Adapting Large Language Models for Document-Level Machine Translation
by: Wu, Minghao, et al.
Published: (2024)
by: Wu, Minghao, et al.
Published: (2024)
On the Reliability of Large Language Models for Causal Discovery
by: Feng, Tao, et al.
Published: (2024)
by: Feng, Tao, et al.
Published: (2024)
Exploring the Potential of Multimodal LLM with Knowledge-Intensive Multimodal ASR
by: Wang, Minghan, et al.
Published: (2024)
by: Wang, Minghan, et al.
Published: (2024)
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems
by: Feng, Tao, et al.
Published: (2024)
by: Feng, Tao, et al.
Published: (2024)
Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search
by: Huang, Shuo, et al.
Published: (2025)
by: Huang, Shuo, et al.
Published: (2025)
GTS: Inference-Time Scaling of Latent Reasoning with a Learnable Gaussian Thought Sampler
by: Wang, Minghan, et al.
Published: (2026)
by: Wang, Minghan, et al.
Published: (2026)
IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data
by: Feng, Tao, et al.
Published: (2025)
by: Feng, Tao, et al.
Published: (2025)
SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models
by: Li, Zhuang, et al.
Published: (2024)
by: Li, Zhuang, et al.
Published: (2024)
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars
by: Hua, Yuncheng, et al.
Published: (2025)
by: Hua, Yuncheng, et al.
Published: (2025)
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph
by: Wu, Minghao, et al.
Published: (2024)
by: Wu, Minghao, et al.
Published: (2024)
SpeechDialogueFactory: Generating High-Quality Speech Dialogue Data to Accelerate Your Speech-LLM Development
by: Wang, Minghan, et al.
Published: (2025)
by: Wang, Minghan, et al.
Published: (2025)
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation
by: Wu, Minghao, et al.
Published: (2024)
by: Wu, Minghao, et al.
Published: (2024)
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models
by: Feng, Tao, et al.
Published: (2024)
by: Feng, Tao, et al.
Published: (2024)
Equipping Language Models with Tool Use Capability for Tabular Data Analysis in Finance
by: Theuma, Adrian, et al.
Published: (2024)
by: Theuma, Adrian, et al.
Published: (2024)
Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
by: Luo, Linhao, et al.
Published: (2023)
by: Luo, Linhao, et al.
Published: (2023)
The Compressor-Retriever Architecture for Language Model OS
by: Yang, Yuan, et al.
Published: (2024)
by: Yang, Yuan, et al.
Published: (2024)
One STEP at a time: Language Agents are Stepwise Planners
by: Nguyen, Minh, et al.
Published: (2024)
by: Nguyen, Minh, et al.
Published: (2024)
Towards Uncertainty-Aware Language Agent
by: Han, Jiuzhou, et al.
Published: (2024)
by: Han, Jiuzhou, et al.
Published: (2024)
VerifiAgent: a Unified Verification Agent in Language Model Reasoning
by: Han, Jiuzhou, et al.
Published: (2025)
by: Han, Jiuzhou, et al.
Published: (2025)
Puzzled By ChatGPT? No more! A Jigsaw Puzzle to Promote AI Literacy and Awareness
by: Padovani, Francesca, et al.
Published: (2026)
by: Padovani, Francesca, et al.
Published: (2026)
All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning
by: Zhang, Caiqi, et al.
Published: (2025)
by: Zhang, Caiqi, et al.
Published: (2025)
Beyond Imitation: Recovering Dense Rewards from Demonstrations
by: Li, Jiangnan, et al.
Published: (2025)
by: Li, Jiangnan, et al.
Published: (2025)
Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles
by: Wang, Zifu, et al.
Published: (2025)
by: Wang, Zifu, et al.
Published: (2025)
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
by: Luo, Linhao, et al.
Published: (2024)
by: Luo, Linhao, et al.
Published: (2024)
Evidence-based Distributional Alignment for Large Language Models
by: Pham, Viet-Thanh, et al.
Published: (2026)
by: Pham, Viet-Thanh, et al.
Published: (2026)
Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge
by: Lu, Weikai, et al.
Published: (2024)
by: Lu, Weikai, et al.
Published: (2024)
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
by: Huang, Shuo, et al.
Published: (2024)
by: Huang, Shuo, et al.
Published: (2024)
Cube Bench: A Benchmark for Spatial Visual Reasoning in MLLMs
by: Anand, Dhruv, et al.
Published: (2025)
by: Anand, Dhruv, et al.
Published: (2025)
Continual Learning for Large Language Models: A Survey
by: Wu, Tongtong, et al.
Published: (2024)
by: Wu, Tongtong, et al.
Published: (2024)
Improving Symbolic Translation of Language Models for Logical Reasoning
by: Thatikonda, Ramya Keerthy, et al.
Published: (2026)
by: Thatikonda, Ramya Keerthy, et al.
Published: (2026)
Similar Items
-
Reshaping Representation Space to Balance the Safety and Over-rejection in Large Audio Language Models
by: Yang, Hao, et al.
Published: (2025) -
Audio Is the Achilles' Heel: Red Teaming Audio Large Multimodal Models
by: Yang, Hao, et al.
Published: (2024) -
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights
by: Yang, Hao, et al.
Published: (2024) -
Resurfacing Paralinguistic Awareness in Large Audio Language Models
by: Yang, Hao, et al.
Published: (2026) -
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues
by: Hua, Yuncheng, et al.
Published: (2024)