activity
20242026
collaborators
Showing 2025Show all

9 papers · 1 filter

cs.LG2025

3D-GSRD: 3D Molecular Graph Auto-Encoder with Selective Re-mask Decoding

Chang Wu, Zhiyuan Liu, Wen Shu +6

Masked graph modeling (MGM) is a promising approach for molecular representation learning (MRL).However, extending the success of re-mask decoding from 2D to 3D MGM is non-trivial,…

cs.CL2025

Contrastive Weak-to-strong Generalization

Houcheng Jiang, Junfeng Fang, Jiaxin Wu +5

Weak-to-strong generalization provides a promising paradigm for scaling large language models (LLMs) by training stronger models on samples from aligned weaker ones, without requir…

cs.LG2025

We Should Identify and Mitigate Third-Party Safety Risks in MCP-Powered Agent Systems

Junfeng Fang, Zijun Yao, Ruipeng Wang +3

The development of large language models (LLMs) has entered in a experience-driven era, flagged by the emergence of environment feedback-driven learning via reinforcement learning…

cs.CL2025

DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal Regulation

Houcheng Jiang, Zetong Zhao, Junfeng Fang +5

Safety-aligned large language models (LLMs) remain vulnerable to backdoor attacks. Recent model editing-based approaches enable efficient backdoor injection by directly modifying a…

cs.LG2025

SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models

Junfeng Fang, Yukai Wang, Ruipeng Wang +5

The rapid advancement of multi-modal large reasoning models (MLRMs) -- enhanced versions of multimodal language models (MLLMs) equipped with reasoning capabilities -- has revolutio…

cs.CV2025

ACE: Concept Editing in Diffusion Models without Performance Degradation

Ruipeng Wang, Junfeng Fang, Jiaqi Li +4

Diffusion-based text-to-image models have demonstrated remarkable capabilities in generating realistic images, but they raise societal and ethical concerns, such as the creation of…

cs.CL2025

Reinforced Lifelong Editing for Language Models

Zherui Li, Houcheng Jiang, Hao Chen +5

Large language models (LLMs) acquire information from pre-training corpora, but their stored knowledge can become inaccurate or outdated over time. Model editing addresses this cha…

cs.CL2025

AnyEdit: Edit Any Knowledge Encoded in Language Models

Houcheng Jiang, Junfeng Fang, Ningyu Zhang +5

Large language models (LLMs) often produce incorrect or outdated information, necessitating efficient and precise knowledge updates. Current model editing methods, however, struggl…

cs.LG2025

Multi-agent Architecture Search via Agentic Supernet

Guibin Zhang, Luyang Niu, Junfeng Fang +3

Large Language Model (LLM)-empowered multi-agent systems extend the cognitive boundaries of individual agents through disciplined collaboration and interaction, while constructing…