Saved in:
| Main Authors: | He, Linxuan, Fan, Lingxiang, Jia, Qing-Shan, Li, Ang, Sang, Hongyan, Wang, Ling, Wen, Guanghui, Lu, Jiwen, Zhang, Tao, Zhou, Jie, Zhang, Yi, Wang, Yisen, Wei, Peng, Wang, Zhongyuan, Liu, Henry X., Feng, Shuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.05171 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Safety Verification of Autonomous Vehicles with Neural Network Operator
by: Fan, Lingxiang, et al.
Published: (2025)
by: Fan, Lingxiang, et al.
Published: (2025)
Object space is embodied
by: Shan Xu, et al.
Published: (2025)
by: Shan Xu, et al.
Published: (2025)
Adversarial Examples Are Not Real Features
by: Li, Ang, et al.
Published: (2023)
by: Li, Ang, et al.
Published: (2023)
Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning
by: Li, Ang, et al.
Published: (2025)
by: Li, Ang, et al.
Published: (2025)
Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics
by: Linxuan Zhao, et al.
Published: (2024)
by: Linxuan Zhao, et al.
Published: (2024)
Learning quantum many-body data locally: A provably scalable framework
by: Chinzei, Koki, et al.
Published: (2025)
by: Chinzei, Koki, et al.
Published: (2025)
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
by: Li, Ang, et al.
Published: (2024)
by: Li, Ang, et al.
Published: (2024)
Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval
by: Chen, Taiye, et al.
Published: (2025)
by: Chen, Taiye, et al.
Published: (2025)
LANPO: Bootstrapping Language and Numerical Feedback for Reinforcement Learning in LLMs
by: Li, Ang, et al.
Published: (2025)
by: Li, Ang, et al.
Published: (2025)
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
by: Guo, Xiaojun, et al.
Published: (2025)
by: Guo, Xiaojun, et al.
Published: (2025)
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations
by: Wei, Zeming, et al.
Published: (2023)
by: Wei, Zeming, et al.
Published: (2023)
Are Smarter LLMs Safer? Exploring Safety-Reasoning Trade-offs in Prompting and Fine-Tuning
by: Li, Ang, et al.
Published: (2025)
by: Li, Ang, et al.
Published: (2025)
On provable privacy vulnerabilities of graph representations
by: Wu, Ruofan, et al.
Published: (2024)
by: Wu, Ruofan, et al.
Published: (2024)
Parameter Importance-Driven Continual Learning for Foundation Models
by: Wang, Lingxiang, et al.
Published: (2025)
by: Wang, Lingxiang, et al.
Published: (2025)
An Augmentation Overlap Theory of Contrastive Learning
by: Zhang, Qi, et al.
Published: (2025)
by: Zhang, Qi, et al.
Published: (2025)
Do Generated Data Always Help Contrastive Learning?
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
On Truthful Item-Acquiring Mechanisms for Reward Maximization
by: Shan, Liang, et al.
Published: (2024)
by: Shan, Liang, et al.
Published: (2024)
Using large language models for embodied planning introduces systematic safety risks
by: Zhang, Tao, et al.
Published: (2026)
by: Zhang, Tao, et al.
Published: (2026)
Enhancing Chain of Thought Prompting in Large Language Models via Reasoning Patterns
by: Zhang, Yufeng, et al.
Published: (2024)
by: Zhang, Yufeng, et al.
Published: (2024)
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
by: Mo, Yichuan, et al.
Published: (2024)
by: Mo, Yichuan, et al.
Published: (2024)
Meta-probabilistic Modeling
by: Zhang, Kevin, et al.
Published: (2026)
by: Zhang, Kevin, et al.
Published: (2026)
Robust Reasoning via Dynamic Token Selection for Distribution-Aligned Self-Distillation
by: Zhang, Ruiqi, et al.
Published: (2026)
by: Zhang, Ruiqi, et al.
Published: (2026)
MAGNET: Towards Adaptive GUI Agents with Memory-Driven Knowledge Evolution
by: Sun, Libo, et al.
Published: (2026)
by: Sun, Libo, et al.
Published: (2026)
Entanglement-induced provable and robust quantum learning advantages
by: Zhao, Haimeng, et al.
Published: (2024)
by: Zhao, Haimeng, et al.
Published: (2024)
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
by: Wang, Ziyi, et al.
Published: (2025)
by: Wang, Ziyi, et al.
Published: (2025)
The Distribution of Dependency Distance and Hierarchical Distance in Contemporary Written Japanese and Its Influencing Factors
by: Wang, Linxuan, et al.
Published: (2025)
by: Wang, Linxuan, et al.
Published: (2025)
Towards Accurate Post-training Quantization for Diffusion Models
by: Wang, Changyuan, et al.
Published: (2023)
by: Wang, Changyuan, et al.
Published: (2023)
Exploring the on‐site experience of slow tourists from an embodied practice perspective
by: Jing Wu, et al.
Published: (2024)
by: Jing Wu, et al.
Published: (2024)
Towards efficient quantum algorithms for diffusion probabilistic models
by: Wang, Yunfei, et al.
Published: (2025)
by: Wang, Yunfei, et al.
Published: (2025)
Towards provably efficient quantum algorithms for large-scale machine-learning models
by: Liu, Junyu, et al.
Published: (2023)
by: Liu, Junyu, et al.
Published: (2023)
On the Limits of Sparse Autoencoders: A Theoretical Framework and Reweighted Remedy
by: Cui, Jingyi, et al.
Published: (2025)
by: Cui, Jingyi, et al.
Published: (2025)
Non-negative Contrastive Learning
by: Wang, Yifei, et al.
Published: (2024)
by: Wang, Yifei, et al.
Published: (2024)
Quantum automated learning with provable and explainable trainability
by: Ye, Qi, et al.
Published: (2025)
by: Ye, Qi, et al.
Published: (2025)
The Structure of the Route to the Period-three Orbit in the Collatz Map
by: Fu, Weicheng, et al.
Published: (2024)
by: Fu, Weicheng, et al.
Published: (2024)
Symmetry Hierarchy and Thermalization Frustration in Graphene Nanoresonators
by: Wang, Yisen, et al.
Published: (2024)
by: Wang, Yisen, et al.
Published: (2024)
FedDTRE: Federated Dialogue Generation Models Powered by Trustworthiness Evaluation
by: Lu, Shule, et al.
Published: (2025)
by: Lu, Shule, et al.
Published: (2025)
OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers
by: Peng, Ziqiao, et al.
Published: (2025)
by: Peng, Ziqiao, et al.
Published: (2025)
Vertex-distinguishing and sum-distinguishing edge coloring of regular graphs
by: Gao, Yuping, et al.
Published: (2024)
by: Gao, Yuping, et al.
Published: (2024)
Vertex‐Distinguishing and Sum‐Distinguishing Edge Coloring of Regular Graphs
by: Yuping Gao, et al.
Published: (2026)
by: Yuping Gao, et al.
Published: (2026)
From Unfamiliar to Familiar: Detecting Pre-training Data via Gradient Deviations in Large Language Models
by: Zhang, Ruiqi, et al.
Published: (2026)
by: Zhang, Ruiqi, et al.
Published: (2026)
Similar Items
-
Efficient Safety Verification of Autonomous Vehicles with Neural Network Operator
by: Fan, Lingxiang, et al.
Published: (2025) -
Object space is embodied
by: Shan Xu, et al.
Published: (2025) -
Adversarial Examples Are Not Real Features
by: Li, Ang, et al.
Published: (2023) -
Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning
by: Li, Ang, et al.
Published: (2025) -
Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics
by: Linxuan Zhao, et al.
Published: (2024)