conftrace_
← Learning Types
Machine Learning › Learning Types ›

Evaluation

2,155 papers

Papers per year

2
4
5
105
683
'05
'10
'15
'20
'25

Papers

Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs EMNLP 2023
Elo Uncovered: Robustness and Best Practices in Language Model Evaluation EMNLP 2023
Post Turing: Mapping the landscape of LLM Evaluation EMNLP 2023
Evaluating Neural Language Models as Cognitive Models of Language Acquisition EMNLP 2023
Walking a Tightrope – Evaluating Large Language Models in High-Risk Domains EMNLP 2023
mSCAN: A Dataset for Multilingual Compositional Generalisation Evaluation EMNLP 2023
Analyzing Multi-Sentence Aggregation in Abstractive Summarization via the Shapley Value EMNLP 2023
Legal Judgment Prediction: If You Are Going to Do It, Do It Right EMNLP 2023
Quality Estimation Using Minimum Bayes Risk EMNLP 2023
Evaluating Metrics for Document-context Evaluation in Machine Translation EMNLP 2023
Scaling up CometKiwi: Unbabel-IST 2023 Submission for the Quality Estimation Shared Task EMNLP 2023
Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level EMNLP 2023
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models ICCV 2023
Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives ICCV 2023
SAM operates far from home: eigenvalue regularization as a dynamical phenomenon ICML 2023
Towards Reliable Neural Specifications ICML 2023
System Identification of Neural Systems: If We Got It Right, Would We Know? ICML 2023
Automatically Auditing Large Language Models via Discrete Optimization ICML 2023
Statistical Indistinguishability of Learning Algorithms ICML 2023
Emergent Asymmetry of Precision and Recall for Measuring Fidelity and Diversity of Generative Models in High Dimensions ICML 2023
Bootstrap in High Dimension with Low Computation ICML 2023
Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference ICML 2023
Never mind the metrics---what about the uncertainty? Visualising binary confusion matrix metric distributions to put performance in perspective ICML 2023
Iterative Approximate Cross-Validation ICML 2023