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Found 4 papers, 1 papers with code
Evaluating Word Embeddings on Low-Resource Languages
The analogy task introduced by Mikolov et al. (2013) has become the standard metric for tuning the hyperparameters of word embedding models.
Chain-of-Thought Unfaithfulness as Disguised Accuracy
Understanding the extent to which Chain-of-Thought (CoT) generations align with a large language model's (LLM) internal computations is critical for deciding whether to trust an LLM's output.
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness
Do larger and more performant models resolve NLP's longstanding robustness issues?
Classifying Organizations for Food System Ontologies using Natural Language Processing
Our research explores the use of natural language processing (NLP) methods to automatically classify entities for the purpose of knowledge graph population and integration with food system ontologies.
