hdbscan
PulseAugur coverage of hdbscan — every cluster mentioning hdbscan across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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LLMs applied to text clustering with HDBSCAN
This article explores the application of large language models (LLMs) beyond typical chat interfaces, focusing on their use in clustering unstructured text. It details how LLM embeddings can be combined with algorithms …
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AI pipeline automates test spec generation for automotive software
Researchers have developed a novel "Cluster-then-Summarize" pipeline to automate the generation of test specifications for large-scale automotive software requirements. This method embeds requirements, clusters them usi…
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AI identifies refactoring candidates in BDD test suites
Researchers have developed a novel method to identify and categorize refactoring opportunities within behavior-driven development (BDD) test suites. By employing machine learning classifiers and Large Language Model (LL…
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LLM evaluation harness updated with production data and adversarial testing
A new approach to evaluating Large Language Models (LLMs) has been proposed to address the issue of static evaluation harnesses failing to detect model regressions. This method involves refreshing evaluation datasets we…
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New framework detects manipulative political narratives on social media
Researchers have developed a new framework to detect and categorize manipulative political narratives found on social media. The system first uses a few-shot prompt with a reasoning model to filter out manipulative post…
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LLMs help score and cluster urban bridge importance using graph analysis
Researchers have developed a new method to assess the importance of urban bridges using heterogeneous graph analysis and large language models. This approach quantifies bridge importance based on factors like transit ac…
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Researchers explore hierarchical clustering in speaker recognition AI
Researchers have developed new methods to understand the internal workings of AI models used for speaker recognition. By applying hierarchical clustering algorithms like SLINK and HDBSCAN, they identified that the AI's …