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model evaluation

442 papers

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large language model (12755) benchmark evaluation (1539) text classification (6776) language model (4573) natural language processing (2027) evaluation benchmark (250) natural language inference (1278) multimodal learning (4622) bias detection (419) transfer learning (5442)

Papers

Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space EMNLP 2022
Simple but Challenging: Natural Language Inference Models Fail on Simple Sentences EMNLP 2022
Finding Memo: Extractive Memorization in Constrained Sequence Generation Tasks EMNLP 2022
Are Pretrained Multilingual Models Equally Fair across Languages? COLING 2022
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models NAACL 2022
Analyzing and Evaluating Faithfulness in Dialogue Summarization EMNLP 2022
Sort by Structure: Language Model Ranking as Dependency Probing NAACL 2022
Text Characterization Toolkit (TCT) IJCNLP 2022
TruthfulQA: Measuring How Models Mimic Human Falsehoods ACL 2022
Systematic Evaluation of Predictive Fairness IJCNLP 2022
With False Friends Like These, Who Can Notice Mistakes? AAAI 2022
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View ACL 2022
Assessment of Massively Multilingual Sentiment Classifiers ACL 2022
Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information ICML 2022
Your fairness may vary: Pretrained language model fairness in toxic text classification ACL 2022
Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding AAAI 2022
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements EMNLP 2022
SUMMARY WORKBENCH: Unifying Application and Evaluation of Text Summarization Models EMNLP 2022
Evaluation of Response Generation Models: Shouldn’t It Be Shareable and Replicable? EMNLP 2022
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency EMNLP 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference EMNLP 2022
Azimuth: Systematic Error Analysis for Text Classification EMNLP 2022
Unbiased Math Word Problems Benchmark for Mitigating Solving Bias NAACL 2022
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair NAACL 2022
Posthoc Verification and the Fallibility of the Ground Truth NAACL 2022