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From the 1 of 21 linked papers with an AI index.

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20242026
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cs.LG2026

Rubric-based On-policy Distillation

Junfeng Fang, Zhepei Hong, Mao Zheng +7

On-policy distillation (OPD) is a powerful paradigm for model alignment, yet its reliance on teacher logits restricts its application to white-box scenarios. We contend that struct…

cs.LG2026

DRAFT: Task Decoupled Latent Reasoning for Agent Safety

Lin Wang, Junfeng Fang, Dan Zhang +3

The advent of tool-using LLM agents shifts safety monitoring from output moderation to auditing long, noisy interaction trajectories, where risk-critical evidence is sparse-making…

cs.LG2026

NExT-Guard: Training-Free Streaming Safeguard without Token-Level Labels

Junfeng Fang, Nachuan Chen, Houcheng Jiang +5

Large language models are increasingly deployed in streaming scenarios, rendering conventional post-hoc safeguards ineffective as they fail to interdict unsafe content in real-time…

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.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.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…