Large Language Models (“LLMs”) are a subset of artificial intelligence (“AI”) which use a type of machine learning called deep learning in order ...

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Abstract: LLM-based data generation for real-world tabular data can be challenged by the lack of sufficient semantic context in feature names used to describe columns. We hypothesize that enriching ...

Given a code and a collection of candidates as the input, the task is to classify and retrieve codes with the same semantic from a collection of candidates. Models are evaluated by MAP score and ...

Overlooked amid the turmoil is the fact that many of DOGE’s cuts have been targeted at a very specific aspect of the federal government: its collection and sharing of data. In agency after ...

April 16, 2025 - The advent of new software applications may pose challenges for collections in the course of discovery, in addition to the challenges faced at the identification and preservation ...

The change will reduce the program's data collection by 20% to 65%, the source said. For its first 22 years, NEISS collected data only on injuries linked to specific products, like lawn mowers or ...

Allstate Corp. cannot be sued in Texas for allegedly collecting consumers’ driving data without their consent because the company is not headquartered or incorporated to the state. The ruling is ...

By combining browser navigation, data extraction, and documentation collection, this tool significantly reduces the time and effort required for repetitive workflows. It is particularly useful for ...