ML Anthology

Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay

Ruiheng Liu, Jinyu Zhang, Yanqi Song, Yu Zhang, Bailong Yang
AAAI 2025 pp. 24641-24649
doi:10.1609/AAAI.V39I23.34644 /aaai/2025/liu2025aaai-filling/
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Cite

Text

Liu et al. "Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I23.34644

Markdown

[Liu et al. "Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/liu2025aaai-filling/) doi:10.1609/AAAI.V39I23.34644

BibTeX

@inproceedings{liu2025aaai-filling,
  title     = {{Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay}},
  author    = {Liu, Ruiheng and Zhang, Jinyu and Song, Yanqi and Zhang, Yu and Yang, Bailong},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {24641-24649},
  doi       = {10.1609/AAAI.V39I23.34644},
  url       = {https://mlanthology.org/aaai/2025/liu2025aaai-filling/}
}