一作ICML 2026Poster· Deep Learning / Large Language Models
Orthogonal Hierarchical Decomposition for Structure-Aware Table Understanding with Large Language Models
Bin Cao · huixian lu · chenwen ma · Ting Wang · Ruizhe Li · JING FAN
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Bin Cao · huixian lu · chenwen ma · Ting Wang · Ruizhe Li · JING FAN
Chen Yang · Ruping Xu · Ruizhe Li · Bin Cao · JING FAN
Extracting structured procedural knowledge from unstructured business documents is a critical yet unresolved bottleneck in process automation. While prior work has focused on extracting linear action flows from instructional texts (e.g., recipes), it has insufficiently addressed the complex logic...
Chenyu Hou · Ziyang Wang · Bin Cao · Jiaxing Wang · Tianming Zhang · Tiantian Li
Legal information retrieval demands high precision, yet traditional ''Retrieve-then-Rerank'' pipelines with two separate models suffer from cascading error propagation and knowledge disconnects between stages. To address these issues, we propose RULER, a Robust Unified LLM-based Efficient Retriev...