4 papers
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…
CausalTAD: Injecting Causal Knowledge into Large Language Models for Tabular Anomaly Detection
Ruiqi Wang, Ruikang Liu, Runyu Chen +4
Detecting anomalies in tabular data is critical for many real-world applications, such as credit card fraud detection. With the rapid advancements in large language models (LLMs),…
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…
LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
Yongxuan Wu, Runyu Chen, Peiyu Liu +1
Long-context understanding poses significant challenges in natural language processing, particularly for real-world dialogues characterized by speech-based elements, high redundanc…