3 papers
cs.IR2025
MaRCA: Multi-Agent Reinforcement Learning for Dynamic Computation Allocation in Large-Scale Recommender Systems
Wan Jiang, Xinyi Zang, Yudong Zhao +7
Modern recommender systems face significant computational challenges due to growing model complexity and traffic scale, making efficient computation allocation critical for maximiz…
cs.CR2025
AgentArmor: Enforcing Program Analysis on Agent Runtime Trace to Defend Against Prompt Injection
Peiran Wang, Yang Liu, Yunfei Lu +6
Large Language Model (LLM) agents offer a powerful new paradigm for solving various problems by combining natural language reasoning with the execution of external tools. However,…
cs.CL2025
What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis
Peiran Wang, Yang Liu, Yunfei Lu +2
Large language model (LLM) systems suffer from the models' unstable ability to generate valid and factual content, resulting in hallucination generation. Current hallucination dete…