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Papers
Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation
IJCNLP 2025
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
NeurIPS 2024
Estimating the Replication Probability of Significant Classification Benchmark Experiments
JMLR 2024
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy
EMNLP 2024
Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies
ACL 2024
Derandomized novelty detection with FDR control via conformal e-values
NeurIPS 2023
GNAT: A General Narrative Alignment Tool
EMNLP 2023
On the Interpretability and Significance of Bias Metrics in Texts: a PMI-based Approach
ACL 2023
Towards Inferential Reproducibility of Machine Learning Research
ICLR 2023
Differentially Describing Groups of Graphs
AAAI 2022
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
AAAI 2022
On the Effectiveness of Automated Metrics for Text Generation Systems
EMNLP 2022
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
NeurIPS 2022
Reproducibility Signals in Science: A preliminary analysis
AACL 2022
Confidence Intervals for ASR-Based TTS Evaluation
Interspeech 2021
MT-Telescope: An interactive platform for contrastive evaluation of MT systems
ACL 2021
Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
ACL 2021
Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String
AAAI 2020
NLPStatTest: A Toolkit for Comparing NLP System Performance
AACL 2020
Significance Tests for Neural Networks
JMLR 2020
Finding Statistically Significant Interactions between Continuous Features
IJCAI 2019
Significance-based community detection in weighted networks
JMLR 2018
The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing
ACL 2018
Bias and Statistical Significance in Evaluating Speech Synthesis with Mean Opinion Scores
Interspeech 2017
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
EMNLP 2017