James Z. Wang

Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering

2017

Word embeddings have become widelyused in document analysis. While a large number of models for mapping words to vector spaces have been developed, it remains undetermined how much net gain can be achieved over traditional …

Large language models show fragile cognitive reasoning about human emotions

2025 · ArXiv.org

Affective computing seeks to support the holistic development of artificial intelligence by enabling machines to engage with human emotion. Recent foundation models, particularly large language models (LLMs), have been trained and evaluated on emotion-related tasks, …