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On 22 June 2018, WikiLeaks published documents containing the personal details of many U.S. Immigration and Customs Enforcement (ICE) employees scraped from LinkedIn with the declared aim of "increasing accountability, especially in light of the extreme actions taken by ICE lately, such as the separation of children and parents at the US border".
LinkedIn has more than 1 billion registered members from over 200 countries and territories. [7] LinkedIn allows members (both employees and employers) to create profiles and connect with each other in an online social network which may represent real-world professional relationships. Members can invite anyone (whether an existing member or not ...
The completed and returned document notifies the company of the applicant's availability and desire to be employed as well as their qualifications and background so that a determination can be made as to the candidate's suitability to the position. A job application letter dated January 1, 1913 Rejection letter dated January 16, 1913 [1]
The document based question was first used for the 1973 AP United States History Exam published by the College Board, created as a joint effort between Development Committee members Reverend Giles Hayes and Stephen Klein. Both were unhappy with student performance on free-response essays, and often found that students were "groping for half ...
WikiLeaks (/ ˈ w ɪ k i l iː k s /) is a non-profit media organisation and publisher of leaked documents.It is funded by donations [13] and media partnerships. It has published classified documents and other media provided by anonymous sources. [14]
The Charlotte Hornets are interviewing JJ Redick for their head-coaching vacancy, The Athletic's Shams Charania reports. Redick, 39, was a standout guard at Duke before embarking on a 15-season ...
Extended matching items/questions (EMI or EMQ) are a written examination format similar to multiple choice questions but with one key difference, that they test knowledge in a far more applied, in-depth, sense. It is often used in medical education and other healthcare subject areas to test diagnostic reasoning.
CoT examples can be generated by LLM themselves. In "auto-CoT", [46] a library of questions are converted to vectors by a model such as BERT. The question vectors are clustered. Questions nearest to the centroids of each cluster are selected. An LLM does zero-shot CoT on each question. The resulting CoT examples are added to the dataset.