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Friend Ba Dao Liu open-sourced search result datasets from 8 domestic AI platforms, containing 620 standard questions and 210,000 citation records, along with cleaned data, a preprint paper, and an analysis report.
Introduces GRASP, a framework that combines LLM planning with graph algorithms to generate high-fidelity related work sections by modeling inter-paper relationships through a two-layer graph structure and Steiner tree pruning.
This paper proposes a Deep Research pipeline that improves literature search recall by an order of magnitude and argues that human citation lists are not reliable ground truth for evaluation.