benchmark dataset 1hierarchical augmentation 1metadata integration 1multi-document question answering 1retrieval-augmented generation 1
From the 1 of 2 linked papers with an AI index.
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2 papers
cs.CL2026★ 1 cited
HiQA: A Hierarchical Contextual Augmentation RAG for Multi-Documents QA
Xinyue Chen, Pengyu Gao, Jiangjiang Song +1
HiQA is a framework for multi‑document question answering that uses hierarchical contextual augmentation and a multi‑route retrieval mechanism with cascading metadata to improve re…
cs.CL2026
PRBench: End-to-end Paper Reproduction in Physics Research
Shi Qiu, Junyi Deng, Yiwei Deng +48
AI agents powered by large language models exhibit strong reasoning and problem-solving capabilities, enabling them to assist scientific research tasks such as formula derivation a…