Natural Questions

Real Google search queries paired with Wikipedia pages and annotated with long and short answers, for open-domain QA.

Papers using Natural Questions (18)

Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale2026PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation2026Test-Time Strategies for More Efficient and Accurate Agentic RAG2026PersonalAI 2.0: Enhancing knowledge graph traversal/retrieval with planning mechanism for Personalized LLM Agents2026COMI: Coarse-to-fine Context Compression via Marginal Information Gain2026Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval2026HaluNet: Learning Hallucination Risk from Internal Signals in LLM Question Answering2025Scalable In-context Ranking with Generative Models2025DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation2025MALM: A Multi-Information Adapter for Large Language Models to Mitigate Hallucination2025Open Data Synthesis For Deep Research2025Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption2025GRADA: Graph-based Reranking against Adversarial Documents Attack2025Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation2025Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection2025Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception2025LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation2024Improving Generated and Retrieved Knowledge Combination Through Zero-shot Generation2024