LECSP uses LLM-generated pseudo-samples guided by SQL syntax differences between tasks, plus dual-teacher distillation, to train a continual semantic parser without replaying real historical data.
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Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs without Real Data Replay
LECSP uses LLM-generated pseudo-samples guided by SQL syntax differences between tasks, plus dual-teacher distillation, to train a continual semantic parser without replaying real historical data.