multi-hop QA benchmarks

Multi-hop QA benchmarks consist of datasets designed to evaluate the ability of models to answer questions that require reasoning across multiple pieces of information or steps.

Papers using multi-hop QA benchmarks (3)

Spend Less, Reason Better: Budget-Aware Value Tree Search for LLM Agents2026QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation2025Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning2025