4 ms·

Does anyone have first hand knowledge of how ChatGPT would be used to sort through resumes?

itchyjunk 2y ago
[2nd hand only] Ran some experiments on RAG based system. You can take a pool of candidate, semantic search by keywords you'd like each one to have. Once you have a narrow it down, you can have a more refined system that ranks them based on each criteria met.
thomasfromcdnjs 2y ago
I've been working on it at JSON Resume https://registry.jsonresume.org/thomasdavis/jobs https://registry.jsonresume.org/thomasdavis/jobs It creates openai embeddings of all HN job postings, and it creates openai embeddings of the specified resume and then returns the most relevant. It works really well, the jobs recommended are right up my alley. Code is open source -> https://github.com/jsonresume/jsonresume.org/tree/master/apps/registry/scripts/jobs https://github.com/jsonresume/jsonresume.org/tree/master/app... --- You can also just make a big prompt, which has the job description and the resume all included, and just ask it if it thinks it is a good match e.g. prompt; You are in the HR department for XYZ, and you are screening resumes. {JOB_DESCRIPTION} {RESUME} You now have to make a judgement following this format. compatibility_score: 0.3 passed: false
intended 2y ago
Dealt with a project like this at work, these were part of my reading/reserach: https://arxiv.org/pdf/2401.08315.pdf https://arxiv.org/pdf/2401.08315.pdf https://www.spiceworks.com/hr/recruitment-onboarding/articles/hr-leaders-miss-key-candidates-due-to-inefficient-processes/ https://www.spiceworks.com/hr/recruitment-onboarding/article... https://hbr.org/2019/05/your-approach-to-hiring-is-all-wrong https://hbr.org/2019/05/your-approach-to-hiring-is-all-wrong https://drjohnsullivan.com/articles/ai-will-dominate-recruiting-future/ https://drjohnsullivan.com/articles/ai-will-dominate-recruit... https://drjohnsullivan.com/articles/predict-each-candidates-time-to-turnover/ https://drjohnsullivan.com/articles/predict-each-candidates-... Kaygin, Esranur. (2023). Comparative Analysis of ML (Machine Learning) and LLM (Large Language Models) in Resume Parsing: A Paradigm Shift in Talent Acquisition. ---- From what I can tell, there is potential for non trivial assistance from LLMs in this space.
itronitron 2y ago
it doesn't have to do any sorting at all, as long as it returns back only a subset of the resumes

[2nd hand only] Ran some experiments on RAG based system. You can take a pool of candidate, semantic search by keywords you'd like each one to have. Once you have a narrow it down, you can have a more refined system that ranks them based on each criteria met.

thomasfromcdnjs 2y ago

I've been working on it at JSON Resume https://registry.jsonresume.org/thomasdavis/jobs https://registry.jsonresume.org/thomasdavis/jobs It creates openai embeddings of all HN job postings, and it creates openai embeddings of the specified resume and then returns the most relevant. It works really well, the jobs recommended are right up my alley. Code is open source -> https://github.com/jsonresume/jsonresume.org/tree/master/apps/registry/scripts/jobs https://github.com/jsonresume/jsonresume.org/tree/master/app... --- You can also just make a big prompt, which has the job description and the resume all included, and just ask it if it thinks it is a good match e.g. prompt; You are in the HR department for XYZ, and you are screening resumes. {JOB_DESCRIPTION} {RESUME} You now have to make a judgement following this format. compatibility_score: 0.3 passed: false

intended 2y ago

Dealt with a project like this at work, these were part of my reading/reserach: https://arxiv.org/pdf/2401.08315.pdf https://arxiv.org/pdf/2401.08315.pdf https://www.spiceworks.com/hr/recruitment-onboarding/articles/hr-leaders-miss-key-candidates-due-to-inefficient-processes/ https://www.spiceworks.com/hr/recruitment-onboarding/article... https://hbr.org/2019/05/your-approach-to-hiring-is-all-wrong https://hbr.org/2019/05/your-approach-to-hiring-is-all-wrong https://drjohnsullivan.com/articles/ai-will-dominate-recruiting-future/ https://drjohnsullivan.com/articles/ai-will-dominate-recruit... https://drjohnsullivan.com/articles/predict-each-candidates-time-to-turnover/ https://drjohnsullivan.com/articles/predict-each-candidates-... Kaygin, Esranur. (2023). Comparative Analysis of ML (Machine Learning) and LLM (Large Language Models) in Resume Parsing: A Paradigm Shift in Talent Acquisition. ---- From what I can tell, there is potential for non trivial assistance from LLMs in this space.

itronitron 2y ago

it doesn't have to do any sorting at all, as long as it returns back only a subset of the resumes