LakeQuest: A New Benchmark for Messy Data Lake QA

LakeQuest is a new benchmark accepted by COLM 2026 designed to evaluate natural language QA capabilities over messy data lakes. It targets the evidence misuse pain point in RAG systems across three real-world scenarios.

2026-08-01 ~ 2026-08-01 · 2 related posts

• LakeQuest Paper at COLM: A QA Benchmark for Messy, Real-World Data Lakes — hllo_wrld · 2026-08-01
• LakeQuest: A New Benchmark Evaluating Grounded QA over Heterogeneous Data Lakes — hllo_wrld · 2026-08-01