4 papers
Sequential Data Poisoning in LLM Post-Training
Jack Sanderson, Yihan Wang, Xiaoqian Lu +2
LLM post-training proceeds through multiple stages, e.g., supervised fine-tuning (SFT) followed by reinforcement learning from human feedback (RLHF) or direct preference optimizati…
Beyond Static Pipelines: Learning Dynamic Workflows for Text-to-SQL
Yihan Wang, Peiyu Liu, Runyu Chen +1
Text-to-SQL has recently achieved impressive progress, yet remains difficult to apply effectively in real-world scenarios. This gap stems from the reliance on single static workflo…
Squrve: A Unified and Modular Framework for Complex Real-World Text-to-SQL Tasks
Yihan Wang, Peiyu Liu, Runyu Chen +2
Text-to-SQL technology has evolved rapidly, with diverse academic methods achieving impressive results. However, deploying these techniques in real-world systems remains challengin…
LinkAlign: Scalable Schema Linking for Real-World Large-Scale Multi-Database Text-to-SQL
Yihan Wang, Peiyu Liu, Xin Yang
Schema linking is a critical bottleneck in applying existing Text-to-SQL models to real-world, large-scale, multi-database environments. Through error analysis, we identify two maj…