factual QA

The 'factual QA' dataset/benchmark contains questions that require factual answers, and it is used to evaluate the performance of language models in providing accurate and relevant information.

Papers using factual QA (3)

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use2026Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction2025Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation2025