Papers by Roelien C. Timmer

    2 papers
    A Position Paper on the Automatic Generation of Machine Learning Leaderboards (2025.emnlp-main)

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    Challenge: Automated leaderboard generation is a tool for comparing prior work with a tabular overview of experimental results.
    Approach: They propose an automatic leaderboard generation framework to standardise how the task is defined.
    Outcome: The proposed framework standardises how the ALG task is defined and proposes new directions . the proposed framework includes recommendations for datasets and metrics that promote fair evaluation .
    MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments (2026.eacl-long)

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    Challenge: Existing leaderboards capture only the best results from each paper and have limited metadata.
    Approach: They propose to create a fully human-annotated ML Leaderboard dataset that captures all experimental results and contains extra metadata.
    Outcome: The MetaLead dataset captures all experimental results and contains extra metadata for cross-domain evaluation.

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