Abstract: Analysing data on a large scale is becoming important and engages in convincing many researchers to use new platforms and tools that can handle large amounts of data. In this article, we ...

Abstract: We propose a new Consistent Weighted Sampling method, where the probability of drawing identical samples for a pair of inputs is equal to their Jaccard similarity. Our method takes ...

Replay (rehearsal) dataset generation for mitigating catastrophic forgetting during SFT. Instead of mixing public SFT datasets (which are distributionally mismatched), this pipeline reconstructs the ...

Given a billion web pages, which ones are near-copies of each other? Comparing every pair is O(n²) — at a billion documents that's 5×10¹⁷ comparisons. MinHash collapses this to something tractable.

movies = pd.read_csv(os.path.join(input_path, 'movies.csv')) train = pd.read_csv(os.path.join(input_path, 'train_set.csv')) test = pd.read_csv(os.path.join(input_path ...

Mash, a MinHash based genome distance estimator 73, was applied with default settings to evaluate pairwise genetic distances between contig sequences and plasmid references. Contig-reference hits with ...

Klebsiella pneumoniae is a pathogen of increasing public health concern and antimicrobial resistance is becoming more prevalent. Here, the authors describe a K. pneumoniae genotyping tool, Kleborate, ...

Our study shows that a culture-based deep-sequencing approach is a possible route towards improving future pathogen surveillance and infection control at hospitals. Future studies should be designed ...

When building RAG pipelines or semantic search systems, the index you pick can make or break your performance. Here's what I mapped out: ...