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Evaluation

167 directly classified papers

Papers per year

Papers

ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision EMNLP 2023
DeltaScore: Fine-Grained Story Evaluation with Perturbations EMNLP 2023
A Closer Look into Using Large Language Models for Automatic Evaluation EMNLP 2023
FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation EMNLP 2023
Arabic dialect identification: An in-depth error analysis on the MADAR parallel corpus EMNLP 2023
$p$-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison NIPS 2023
OpenDataVal: a Unified Benchmark for Data Valuation NIPS 2023
GSLB: The Graph Structure Learning Benchmark NIPS 2023
Automated Classification of Model Errors on ImageNet NIPS 2023
Evidence > Intuition: Transferability Estimation for Encoder Selection EMNLP 2022
A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques EMNLP 2022
Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation EMNLP 2022
The patient is more dead than alive: exploring the current state of the multi-document summarisation of the biomedical literature ACL 2022
Dataset Geography: Mapping Language Data to Language Users ACL 2022
Quantified Reproducibility Assessment of NLP Results ACL 2022
BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation NAACL 2022
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation ACL 2022
Benchmarking Answer Verification Methods for Question Answering-Based Summarization Evaluation Metrics ACL 2022
Revisiting text decomposition methods for NLI-based factuality scoring of summaries EMNLP 2022
Towards a Rigorous Evaluation of Time-Series Anomaly Detection AAAI 2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification NIPS 2022
Pythae: Unifying Generative Autoencoders in Python - A Benchmarking Use Case NIPS 2022
CGLB: Benchmark Tasks for Continual Graph Learning NIPS 2022
Estimating and Explaining Model Performance When Both Covariates and Labels Shift NIPS 2022
Better Uncertainty Calibration via Proper Scores for Classification and Beyond NIPS 2022