Still Fresh? Evaluating Temporal Drift in Retrieval Benchmarks
Information retrieval (IR) benchmarks typically follow the Cranfield paradigm, relying on static and predefined corpora. However, temporal changes in technical corpora, such as API deprecations and code reorganizations, can render existing benchmarks stale. In our work, we investigate how temporal corpus drift affects FreshStack, a retrieval benchmark focused on technical domains. We examine two independent corpus snapshots of FreshStack from October 2024 and October 2025 to answer questions about LangChain. Our analysis shows that all but one query posed in 2024 remain fully supported by the 2025 corpus, as relevant documents "migrate" from LangChain to competitor repositories, such as L...
| Authors | Nathan Kuissi, Suraj Subrahmanyan, Nandan Thakur et al. |
|---|---|
| Primary category | cs.IR |
| Published | 4 March 2026 |
| Last updated at source | 4 March 2026 |
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