The tool helps scientists understand how single-letter mutations and distant DNA regions influence gene activity, shaping ...
Google has released TranslateGemma, a set of open translation models based on the Gemma 3 architecture, offering 4B, 12B, and ...
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, ...
Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance on long-context tasks. RLMs use a programming environment to recursively ...
Abstract: Topic modeling is an effective way to gain insight into large amounts of data. Some of the most widely used topic models are Latent Dirichlet allocation (LDA) and Nonnegative Matrix ...
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 ...
This project implements a hybrid data mining framework that integrates Unsupervised Topic Modeling (LDA) with Large Language Model (LLM) Zero-shot Reasoning to predict Dow Jones Industrial Average ...
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, ...
While many low-income countries (LICs) have built good momentum since 2000, they still face numerous macroeconomic challenges and vulnerabilities. For instance, LICs are currently facing a crisis like ...
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