Learning robust linguistic representations from text has long been a central challenge in natural language processing and language sciences. NLP systems ...

Just because an AI tool can process data quickly does not mean that the output has yielded the correct result for a particular context or situation.

For more than a century, Einstein’s relativity has set a hard speed limit for the universe, with light as the ultimate ...

Results: Coherence scores indicated an optimal topic solution of k=40 (coherence=0.58) for English and k=30 (coherence=0.52) for Spanish. Thematically, we observed similar content in both languages, ...

Results of a set of experiments found that individuals learning about a topic from large language model summaries develop shallower knowledge compared to when they learn through standard web search.

An efficient analysis pipeline, integrating topic modeling with large language model (LLM) summarizing and human verification, was applied to identify the discussion topics. Results: We analyzed 1765 ...

Social engagement in environmental issues has significantly increased with the rise of social media, which plays a critical role in shaping public perception of climate change. This study examines the ...

Summarization of texts have been considered as essential practice nowadays with the careful presentation of the main ideas of a text. The current study aims to provide a methodology of summarizing ...

When Sora was announced in February 2024, it marked OpenAI's first video generation model. But it wasn't officially released until December, when it became available to ChatGPT Plus and Pro ...

Disturbances to the gut microbiome contribute to health conditions like inflammatory bowel disease (IBD). To better understand how those microbes interact with each other and their environment, ...

Typically, bone marrow research relies heavily on animal models and oversimplified cell cultures in the laboratory. Now, researchers from the Department of Biomedicine at the University of Basel and ...