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Survey details evaluation practices for automated research systems

By PulseAugur Editorial · [1 sources] ·

A new survey paper published on arXiv examines the evaluation practices for automated research systems. It reviews benchmarks and methodologies across six key areas: literature synthesis, research ideation, workflow execution, scholarly writing, peer review, and end-to-end research. The paper highlights that output checks, process checks, and human studies offer complementary insights, and emphasizes the importance of evaluator calibration and resource budgets for interpreting performance comparisons. Recommendations are provided for reporting and auditing evaluations in specific research settings. AI

IMPACT Provides a framework for evaluating AI-driven research tools, potentially improving their development and adoption.

RANK_REASON The item is a survey paper on benchmarks and evaluation practices for automated research systems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Survey details evaluation practices for automated research systems

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The item is a survey paper on benchmarks and evaluation practices for automated research systems. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Liulei Zhang, Dejing Zhou, Chuyue Huang, Guanhua Chen, Yutong Yao, Lidia S. Chao, Chi Man Vong, Derek F. Wong ·

    How Is Automated Research Evaluated? A Survey of Benchmarks and Evaluation Practices

    arXiv:2610.11877v1 Announce Type: new Abstract: Automated research systems support literature synthesis, ideation, experiments, writing, and peer review, but their evaluation is dispersed across tasks, benchmarks, and studies that are difficult to compare directly. We review this…

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