MuSiQue

The 'MuSiQue' dataset/benchmark is used to evaluate the factual correctness of answers generated by large language model systems in the context of knowledge graph retrieval and generation.

Papers using MuSiQue (6)

Retrieval as Reasoning: Self-Evolving Agent-Native Retrieval via LLM-Wiki2026MeMo: Memory as a Model2026PersonalAI 2.0: Enhancing knowledge graph traversal/retrieval with planning mechanism for Personalized LLM Agents2026Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models2025MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG2025Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision2025