most citedFrom Graph Retrieval to Schema Realization: Counterfactual Validation for Text-to-SPARQL over Heterogeneous Knowledge Graphs

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6 papers

cs.CL20261 cited

From Graph Retrieval to Schema Realization: Counterfactual Validation for Text-to-SPARQL over Heterogeneous Knowledge Graphs

Chengxiao Dai, Yue Xiu, Dusit Niyato

Text-to-SPARQL maps natural-language questions to executable SPARQL queries over RDF knowledge graphs. While standard evaluations often fix the target graph in advance, practical k…

cs.AI2026

MEMOREPAIR: Barrier-First Cascade Repair in Agentic Memory

Yang Zhao, Chengxiao Dai, Mengying Kou +1

Agentic memory evolves across tasks into durable derived artifacts: summaries, cached outputs, embeddings, learned skills, and executable tool procedures. When a source artifact is…

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.AI2026

ShardMemo: Masked MoE Routing for Sharded Agentic LLM Memory

Yang Zhao, Chengxiao Dai, Yue Xiu +3

Agentic large language model (LLM) systems rely on external memory for long-horizon state and concurrent multi-agent execution, but centralized indexes and heuristic partitions bec…

cs.DC2025

Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing

Houming Qiu, Kun Zhu, Dusit Niyato +3

Collaborative mobile edge computing (MEC) has emerged as a promising paradigm to enable low-capability edge nodes to cooperatively execute computation-intensive tasks. However, str…

cs.AI2025

A Graph-Retrieval-Augmented Generation Framework Enhances Decision-Making in the Circular Economy

Yang Zhao, Chengxiao Dai, Dusit Niyato +7

Large language models (LLMs) hold promise for sustainable manufacturing, but often hallucinate industrial codes and emission factors, undermining regulatory and investment decision…