Leveraging a four-quadrant approach for evaluating Redpine Science
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Computer Science > Computation and Language
arXiv:2610.07937 (cs)
[Submitted on 6 Oct 2026]
Title:Leveraging a four-quadrant approach for evaluating Redpine Science
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Abstract:Redpine Science gives models and agents a single access point to a wide range of peer-reviewed literature, queried directly through the Model Context Protocol (MCP) and an API. This report evaluates Redpine Science on two levels: the relevance of the retrieved chunks, and a model's answer when it has access to Redpine Science compared to web search. Both public and expert-validated benchmarks are used. Public benchmarks are a widely accepted way to test model development and are comparable across labs, but risk saturation and memorization. To address this, we complement them with an expert-validated question set. In total, this report presents four evaluations. On ScholarQABench SciFact, the public answer-quality benchmark reported here, an agent with Redpine Science answers 94.4% of claims correctly against 87.6% with no retrieval. On the expert-validated question set, an agent with Redpine Science states 80.1% of the required claims against 70.2% for an agent restricted to web search. On the 668 queries of a public retrieval benchmark whose gold paper Redpine holds, stripped of any model reasoning, Redpine Science places the correct source paper in its top ten results for 83.1% of queries (Recall@10), against 79.3% for the benchmark's creator. A blinded expert relevance panel places Redpine Science's Precision@5 at 75.2% against 39.8% for the PubMed search tool. We release the expert-validated question set and instructions to reproduce every headline result above, at this https URL.
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2610.07937 [cs.CL] |
| (or arXiv:2610.07937v1 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2610.07937
arXiv-issued DOI via DataCite (pending registration)
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View a PDF of the paper titled Leveraging a four-quadrant approach for evaluating Redpine Science, by Filip Dorm and 1 other authors
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