Author

Hong Chen

Renmin University of China

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#large language models Review Open access Sep 2026

A Review of Neural Question Generation: Approaches, Challenges, and Future Directions

This survey provides a comprehensive review of developments in NQG, spanning traditional neural approaches to the latest paradigms driven by large language models (LLMs) and multimodal large language models (MLLMs).

Shasha Guo, Liang Pang, Jing Zhang et al. · ACM Computing Surveys · 0 citations

Preprint Aug 2026

ACTS-SQL: Agentic and Critic-Oriented Tree-Structured SQL Correctness with Large Language Models

This work presents a training-free framework that formulates SQL correction as a plan-guided, tree-structured debugging process that mitigates error accumulation during iterative refinement and demonstrates the effectiveness and stability of the approach in real-world deployments.

Xinmei Huang, Jie Song, Peng Li et al. · 0 citations