main webpage W Topic Reading Transactions of the Association for Computational Linguistics • Vol 13 LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models 2025 Abstract Topic modeling has been a widely used tool for unsupervised text analysis. However, comprehensive evaluations of a topic model remain challenging. Existing evaluation methods are either less comparable across different models (e.g., perplexity) or fo… Article Open Reading Open Article Page

Reading

Taking in the meaning of letters or symbols Reading is the process of taking in the sense or meaning of symbols, often specifically those of a written language, by means of sight or touch. For educators and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), alphabetics, phonics, phonemic awareness, vocabulary, comprehension, fluency, and motivation. Other types of reading and writing, such as pictograms (e.g., a hazard symbol and an emoji), are not based on speech-based writing systems. The common link is the interpretation of symbols to extract the meaning from the visual notations or tactile signals (as in the case of braille). … Critical Symbolic Virtual Narrative Open Reading Open Article Page

Exploring foci of: Transactions of the Association for Computational Linguistics • Vol 13 LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models 2025 Abstract Topic modeling has been a widely used tool for unsupervised text analysis. However, comprehensive evaluations of a topic model remain challenging. Existing evaluation methods are either less comparable across different models (e.g., perplexity) or focus on only one specific aspect of a model (e.g., topic quality or document representation quality) at a time, which is insufficient to reflect the overall model performance. In this paper, we propose WALM (Word Agreement with Language Model), a new evaluation… Open Article Page

Click Reading Vs: Computer Science Artificial Intelligence Philosophy Open Article Page

Explore Reading W Topic Reading Transactions of the Association for Computational Linguistics • Vol 13 LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models 2025 Abstract Topic modeling has been a widely used tool for unsupervised text analysis. However, comprehensive evaluations of a topic model remain challenging. Existing evaluation methods are either less comparable across different models (e.g., perplexity) or fo… Article Critical Symbolic Virtual Narrative Open Reading Open Article Page