3 papers
cs.AI2026
From Association to Causation: Improving Retrieval Precision of Retrieval-Augmented Generation via Causal Relations and an Attention Mechanism
Jing Liu, Yongxing Qi, Muchen Jiang +7
Retrieval-Augmented Generation (RAG) grounds LLM generation on retrieved documents, but the standard terminal retrieval stage--dense-vector similarity, optionally followed by reran…
cs.AI2026
A Control Architecture for Training-Free Memory Use
Yanzhen Lu, Muchen Jiang, Zhicheng Qian +1
Prompt-injected memory can improve reasoning without updating model weights, but it also creates a control problem: retrieved content helps only when it is applied in the right sta…
cs.AI2026
State Transfer Reveals Reuse in Controlled Routing
Yanzhen Lu, Zhicheng Qian, Muchen Jiang +1
Prompt-based interventions can change model behavior, but trained success alone does not identify where the behaviorally relevant state is represented. We study this question in co…