model evaluation

A Survey of Federated Evaluation in Federated Learning IJCAI 2023 Automated Classification of Model Errors on ImageNet NeurIPS 2023 Bounding Evidence and Estimating Log-Likelihood in VAE AISTATS 2023 Can we trust the evaluation on ChatGPT? ACL 2023 Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data NeurIPS 2023 CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models ICML 2023 Confidence and Dispersity Speak: Characterizing Prediction Matrix for Unsupervised Accuracy Estimation ICML 2023 Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI) EMNLP 2023 Credible without Credit: Domain Experts Assess Generative Language Models ACL 2023 Curvature Filtrations for Graph Generative Model Evaluation NeurIPS 2023 DataPerf: Benchmarks for Data-Centric AI Development NeurIPS 2023 Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023 Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models CVPR 2023 Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023? ACL 2023 Do “English” Named Entity Recognizers Work Well on Global Englishes? EMNLP 2023 Does It Pay to Optimize AUC? AAAI 2023 DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023 Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes NeurIPS 2023 Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP EMNLP 2023 Efficient Shapley Values Estimation by Amortization for Text Classification ACL 2023 Establishing Trustworthiness: Rethinking Tasks and Model Evaluation EMNLP 2023 EVALIGN: Visual Evaluation of Translation Alignment Models EACL 2023 Evaluating Paraphrastic Robustness in Textual Entailment Models ACL 2023 Evaluation for Change ACL 2023 Exploring the Impact of Corpus Diversity on Financial Pretrained Language Models EMNLP 2023