:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zhexin, Lu, Yida, Fang, Junfeng, Yang, Junxiao, Cui, Shiyao, Zhou, Hao, Meng, Fandong, Zhou, Jie, Wang, Hongning, Huang, Minlie, Chua, Tat-Seng
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Machine Learning
Online Access:	https://arxiv.org/abs/2602.04196
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Agent-SafetyBench: Evaluating the Safety of LLM Agents
by: Zhang, Zhexin, et al.
Published: (2024)

Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints
by: Yang, Junxiao, et al.
Published: (2025)

From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks
by: Zhang, Zhexin, et al.
Published: (2024)

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen!
by: Zhang, Zhexin, et al.
Published: (2025)

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs
by: Cui, Shiyao, et al.
Published: (2025)

LongSafety: Evaluating Long-Context Safety of Large Language Models
by: Lu, Yida, et al.
Published: (2025)

When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity
by: Cui, Shiyao, et al.
Published: (2025)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization
by: Zhang, Zhexin, et al.
Published: (2023)

LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety
by: Yang, Junxiao, et al.
Published: (2026)

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study
by: Zhang, Zhexin, et al.
Published: (2025)

AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement
by: Zhang, Zhexin, et al.
Published: (2025)

MiniPLM: Knowledge Distillation for Pre-Training Language Models
by: Gu, Yuxian, et al.
Published: (2024)

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems
by: Fang, Junfeng, et al.
Published: (2025)

Beyond Next Token Prediction: Patch-Level Training for Large Language Models
by: Shao, Chenze, et al.
Published: (2024)

BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
by: Yang, Junxiao, et al.
Published: (2025)

Large Language Models Are Not Robust Multiple Choice Selectors
by: Zheng, Chujie, et al.
Published: (2023)

DRAFT: Task Decoupled Latent Reasoning for Agent Safety
by: Wang, Lin, et al.
Published: (2026)

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors
by: Zhang, Zhexin, et al.
Published: (2024)

Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment
by: Zheng, Jingnan, et al.
Published: (2026)

The Side Effects of Being Smart: Safety Risks in MLLMs' Multi-Image Reasoning
by: Chen, Renmiao, et al.
Published: (2026)

SMSP: A Plug-and-Play Strategy of Multi-Scale Perception for MLLMs to Perceive Visual Illusions
by: Tu, Jinzhe, et al.
Published: (2026)

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models
by: Fang, Junfeng, et al.
Published: (2025)

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
by: Chen, Renmiao, et al.
Published: (2025)

3D-TAFS: A Training-free Framework for 3D Affordance Segmentation
by: Chu, Meng, et al.
Published: (2024)

SafeNeuron: Neuron-Level Safety Alignment for Large Language Models
by: Wang, Zhaoxin, et al.
Published: (2026)

Understanding Long Videos via LLM-Powered Entity Relation Graphs
by: Chu, Meng, et al.
Published: (2025)

On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR
by: Ye, Hao, et al.
Published: (2026)

Compose Your Aesthetics: Empowering Text-to-Image Models with the Principles of Art
by: Jin, Zhe, et al.
Published: (2025)

NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels
by: Fang, Junfeng, et al.
Published: (2026)

Turing Patterns for Multimedia: Reaction-Diffusion Multi-Modal Fusion for Language-Guided Video Moment Retrieval
by: Fang, Xiang, et al.
Published: (2026)

The Superalignment of Superhuman Intelligence with Large Language Models
by: Huang, Minlie, et al.
Published: (2024)

Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video Diffusion
by: Zhou, Zhenglin, et al.
Published: (2025)

A Study of Implicit Ranking Unfairness in Large Language Models
by: Xu, Chen, et al.
Published: (2023)

On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)

CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers
by: Hu, Yong, et al.
Published: (2022)

Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
by: Liu, Yijin, et al.
Published: (2024)

Continuous Visual Autoregressive Generation via Score Maximization
by: Shao, Chenze, et al.
Published: (2025)

DeepTrans: Deep Reasoning Translation via Reinforcement Learning
by: Wang, Jiaan, et al.
Published: (2025)

THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation
by: Liang, Yunlong, et al.
Published: (2025)

ExTrans: Multilingual Deep Reasoning Translation via Exemplar-Enhanced Reinforcement Learning
by: Wang, Jiaan, et al.
Published: (2025)