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Theory

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Papers

Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance ACL 2023
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance ACL 2023
Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP ACL 2023
TextVerifier: Robustness Verification for Textual Classifiers with Certifiable Guarantees ACL 2023
On the Limitations of Simulating Active Learning ACL 2023
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models ACL 2023
Reconstruction Probing ACL 2023
Feature Interactions Reveal Linguistic Structure in Language Models ACL 2023
The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation ACL 2023
Common Law Annotations: Investigating the Stability of Dialog System Output Annotations ACL 2023
Reproducibility in NLP: What Have We Learned from the Checklist? ACL 2023
Data Sampling and (In)stability in Machine Translation Evaluation ACL 2023
FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN ACL 2023
Limits for learning with language models ACL 2023
Empirical Sufficiency Lower Bounds for Language Modeling with Locally-Bootstrapped Semantic Structures ACL 2023
Training Data Extraction From Pre-trained Language Models: A Survey ACL 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023
The Fine Print on Tempered Posteriors ACML 2023
Error Estimation for Random Fourier Features AISTATS 2023
Implications of sparsity and high triangle density for graph representation learning AISTATS 2023
Mode-Seeking Divergences: Theory and Applications to GANs AISTATS 2023
The Power of Recursion in Graph Neural Networks for Counting Substructures AISTATS 2023
Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks AISTATS 2023
A Case of Exponential Convergence Rates for SVM AISTATS 2023
Learning k-qubit Quantum Operators via Pauli Decomposition AISTATS 2023