Author

Jian Cao

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Book Open access Jul 2026

GCA-KBQA: A Step-Wise Logical Form Generation Approach for KBQA with Knowledge-Assisted Calibration

GCA-KBQA is proposed, a step-wise fine-tuned LLM-based framework that employs hop-wise generation, knowledge-assisted calibration, and path-level assembly to construct complete LFs for KBQA, demonstrating its superior performance compared to state-of-the-art baselines.

Ran-Ran Bu, Jian Cao, Jian-Qi Gao et al. · Annual International ACM SIG... · 0 citations

Preprint Aug 2026

Self-Correcting Long-Horizon Search Agents via Tree-Structured Memory

Experiments establish ReTree as an effective self-correcting memory abstraction for long-horizon search, and show that ReTree consistently outperforms Full-Trajectory ReAct in question-answering and search benchmarks.

Aijun Yang, Qianxue Guo, Ziyi Huang et al. · 0 citations

Generating then Reﬁning for Reliable Knowledge Base Question Answering

Evaluations on standard KBQA benchmarks show that the proposed ARI-KBQA enhances model performance with a reduced search space, especially in complex multi-hop query scenarios.

Jian-Qi Gao, Hang Yu, Jian Cao et al. · 0 citations