Papers by Shunji Wan

1 papers
VarBench: Robust Language Model Benchmarking Through Dynamic Variable Perturbation (2024.findings-emnlp)

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Challenge: Recent benchmarks release only training and validation sets, keeping the test set labels closed-source.
Approach: They propose to extract variables from each test case and define a value range for each variable.
Outcome: The proposed method improves the accuracy of the evaluations on four datasets covering mathematical generation and multiple-choice tasks.

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