2 papers
cs.AI2026
CLAUSE: Agentic Neuro-Symbolic Knowledge Graph Reasoning via Dynamic Learnable Context Engineering
Yang Zhao, Chengxiao Dai, Wei Zhuo +2
Knowledge graphs provide structured context for multi-hop question answering, but deployed systems must balance answer accuracy with strict latency and cost targets while preservin…
cs.LG2026
Modality-free Graph In-context Alignment
Wei Zhuo, Siqiang Luo
In-context learning (ICL) converts static encoders into task-conditioned reasoners, enabling adaptation to new data from just a few examples without updating pretrained parameters.…