Specifically, we develop a latent variable model named Joint Learning Model on Interview Assessment (JLMIA) to jointly model job description, candidate resume and interview assessment.

Traditionally, AI proved very valuable for resume and keywords scanning and extraction of candidate skills devoid of bias. There has been a recent trend towards video-interview analysis in Human …

Specifically, we develop a latent variable model named Joint Learning Model on Interview Assessment (JLMIA) to jointly model job description, candi-date resume and interview assessment.

One-to-many negotiations are widely applied in various domains, contributing to efficient resource allocation and effective decision making. This wide variety of applications also brings a wide variety …

Each interview is approximately 40 minutes long and is recorded in the household premises of the interviewee, thus yielding very noisy recordings. The interviewer refers to a questionnaire as a guide …

The Workshop of Artificial Intelligence for Time Series Analysis (AI4TS): Theory, Algorithms, and Applications Dongjin Song, Qingsong Wen, Sanjay Purushotham, Wei Cheng, Elynn Chen, Yingjie …

The rise of powerful foundation models, particularly large language models (LLMs) built on Transformer architectures, has ushered in a new era of Generative AI, transforming various industries. These …

For instance, during an interview, it is needed to assess the performance of candidates according to their working experience.

While current time series research focuses on developing new models, crucial questions of selecting an optimal approach for training such models are underexplored. Tsururu, a Python library introduced in …

For example, an employer who does not make a job offer to a potential employee following an interview will lose her forever, as she will probably be hired by another firm. In this paper, we introduce a multi …