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684 directly classified papers

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Papers

Feature Selection for Latent Factor Models CVPR 2025
ReliableEval: A Recipe for Stochastic LLM Evaluation via Method of Moments EMNLP 2025
Can Unconfident LLM Annotations Be Used for Confident Conclusions? NAACL 2025
Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection ACL 2025
Robust Bias Detection in MLMs and its Application to Human Trait Ratings NAACL 2025
An Axiomatic Definition of Hierarchical Clustering JMLR 2025
Advocating Character Error Rate for Multilingual ASR Evaluation NAACL 2025
Representations of Fact, Fiction and Forecast in Large Language Models: Epistemics and Attitudes ACL 2025
A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations CVPR 2025
The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs ACL 2025
Don’t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation EMNLP 2025
Distribution Free Tests for Model Selection Based on Maximum Mean Discrepancy with Estimated Parameters JMLR 2025
Mitigating Label Length Bias in Large Language Models IJCNLP 2025
Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation IJCNLP 2025
Public-data Assisted Private Stochastic Optimization: Power and Limitations NIPS 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NIPS 2024
Stochastic Amortization: A Unified Approach to Accelerate Feature and Data Attribution NIPS 2024
Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NIPS 2024
On Differentially Private U Statistics NIPS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference NIPS 2024
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks NIPS 2024
Boosted Conformal Prediction Intervals NIPS 2024
Differentially Private Equivalence Testing for Continuous Distributions and Applications NIPS 2024