DW-Bench: Benchmarking LLMs on Data Warehouse Graph Topology Reasoning

📰 ArXiv cs.AI

Learn how to benchmark LLMs on data warehouse graph topology reasoning using DW-Bench and improve their performance on complex queries

advanced Published 22 Apr 2026
Action Steps
  1. Run DW-Bench on your LLM to evaluate its performance on graph-topology reasoning
  2. Configure your LLM to integrate foreign-key and data-lineage edges for better performance
  3. Apply tool-augmented methods to improve your LLM's performance on hard compositional subtype questions
  4. Test your LLM on the 1,046 automatically generated questions in DW-Bench
  5. Compare the performance of your LLM with other models using DW-Bench
Who Needs to Know This

Data scientists and AI engineers can use DW-Bench to evaluate and improve the performance of LLMs on graph-topology reasoning tasks, leading to better decision-making and data analysis

Key Insight

💡 Tool-augmented methods can substantially outperform static approaches on graph-topology reasoning tasks

Share This
💡 Benchmark your LLMs on data warehouse graph topology reasoning with DW-Bench!
Read full paper → ← Back to Reads