3 papers
cs.IR2026
From Language to Behavior: Scaling Sequence Transformers for Industrial Recommendation Ranking with Rec-Native Designs
Jie Chen, Xiangqian Yu, Yanchao Lian +9
Scaling Transformers has driven large gains in language modeling, but transplanting this to behavior-sequence modeling in production ranking is challenging: recommendation differs…
cs.CR2025
Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses
Zhengchun Shang, Wenlan Wei, Weiheng Bai
Large Language Models (LLMs) are increasingly popular, powering a wide range of applications. Their widespread use has sparked concerns, especially through jailbreak attacks that b…
cs.LG2024
Efficient Relational Context Perception for Knowledge Graph Completion
Wenkai Tu, Guojia Wan, Zhengchun Shang +1
Knowledge Graphs (KGs) provide a structured representation of knowledge but often suffer from challenges of incompleteness. To address this, link prediction or knowledge graph comp…