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Theory

4950 directly classified papers

Papers per year

Papers

An Explainable Forecasting System for Humanitarian Needs Assessment AAAI 2023
Towards Safe and Resilient Autonomy in Multi-Robot Systems AAAI 2023
A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023
Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023
A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation AAAI 2023
Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation AAAI 2023
A Measure-Theoretic Characterization of Tight Language Models ACL 2023
FERMAT: An Alternative to Accuracy for Numerical Reasoning ACL 2023
Follow the leader(board) with confidence: Estimating p-values from a single test set with item and response variance ACL 2023
On the Limitations of Simulating Active Learning ACL 2023
Reproducibility in NLP: What Have We Learned from the Checklist? ACL 2023
A Critical Evaluation of Evaluations for Long-form Question Answering ACL 2023
FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN ACL 2023
A Better Way to Do Masked Language Model Scoring ACL 2023
Probing for Hyperbole in Pre-Trained Language Models ACL 2023
Reconstruction Probing ACL 2023
Data Sampling and (In)stability in Machine Translation Evaluation ACL 2023
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance ACL 2023
Log-linear Guardedness and its Implications ACL 2023
Evaluating Cross-Domain Text-to-SQL Models and Benchmarks EMNLP 2023
Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023
Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction EMNLP 2023
Understanding the Inner-workings of Language Models Through Representation Dissimilarity EMNLP 2023
Faithful Model Evaluation for Model-Based Metrics EMNLP 2023
We Need to Talk About Reproducibility in NLP Model Comparison EMNLP 2023