Inspire: Benchmarking Scientific Literature Search for Open Research Problems
Scientific literature search often begins with an open research problem rather than a known target paper or a fixed candidate set. We introduce INSPIRE, a benchmark for evaluating agents that search prior literature to make progress on solution-redacted research problems. Each instance pairs a research brief with a target-specific cutoff three months before a later paper and evaluates ranked outputs against graded cited antecedents from that paper's realized research lineage. Search proceeds over an open corpus, while the identity of the target paper and membership of its cited antecedents remain hidden from the agent. Beyond end-to-end retrieval quality, INSPIRE uses logged search trajec...
| Authors | Jianrong Ding, Zhengyan Shi, Jianyuan Zhong et al. |
|---|---|
| Primary category | cs.IR |
| Published | 27 September 2026 |
| Last updated at source | 27 September 2026 |
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