4 papers
Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
Bin Cao, Huixian Lu, Chenwen Ma +3
Complex tables with multi-level headers, merged cells and heterogeneous layouts pose persistent challenges for LLMs in both understanding and reasoning. Existing approaches typical…
Business as Rulesual: A Benchmark and Framework for Business Rule Flow Modeling with LLMs
Chen Yang, Ruping Xu, Ruizhe Li +2
Extracting structured procedural knowledge from unstructured business documents is a critical yet unresolved bottleneck in process automation. While prior work has focused on extra…
FGTR: Fine-Grained Multi-Table Retrieval via Hierarchical LLM Reasoning
Chaojie Sun, Bin Cao, Tiantian Li +3
With the rapid advancement of large language models (LLMs), growing efforts have been made on LLM-based table retrieval. However, existing studies typically focus on single-table q…
Benchmarking Text-to-Python against Text-to-SQL: The Impact of Explicit Logic and Ambiguity
Hangle Hu, Chenyu Hou, Bin Cao +1
While Text-to-SQL remains the dominant approach for database interaction, real-world analytics increasingly require the flexibility of general-purpose programming languages such as…