SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model
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Abstract (arXiv)
We present SkillGPT, a tool for skill extraction and standardization (SES) from free-style job descriptions and user profiles with an open-source Large Language Model (LLM) as backbone. Most previous methods for similar tasks either need supervision or rely on heavy data-preprocessing and feature engineering. Directly prompting the latest conversational LLM for standard skills, however, is slow, costly and inaccurate. In contrast, SkillGPT utilizes a LLM to perform its tasks in steps via summarization and vector similarity search, to balance speed with precision. The backbone LLM of SkillGPT is based on Llama, free for academic use and thus useful for exploratory research and prototype development. Hence, our cost-free SkillGPT gives users the convenience of conversational SES, efficiently and reliably.
Key facts. Cited by 11 papers in the map (data through 7 Oct 2026). Builds on 11 of its 16 references that are in the map. First posted on arXiv 17 Apr 2023.
Builds on
11 of 16 references.
References · 11
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- 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,266
- 2022Survey of Hallucination in Natural Language Generationcited by 2,056
- 2023Instruction Tuning with GPT-4cited by 676
- 2022On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?cited by 137
- 2018Learning Representations for Soft Skill Matchingcited by 19
- 2021DataOps for Societal Intelligence: a Data Pipeline for Labor Market Skills Extraction and Matchingcited by 13
- 2022Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learningcited by 13
- 2022Skill Extraction from Job Postings using Weak Supervisioncited by 13
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Citing papers per year: 2023: 2; 2024: 4; 2025: 1; 2026: 4.
11 papers.
- 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
- 2023Model-as-a-Service (MaaS): A Surveycited by 24
- 2023Extreme Multi-Label Skill Extraction Training using Large Language Modelscited by 17
- 2025CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendationscited by 5
- 2024Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacanciescited by 1
- 2026Noise-Aware Named Entity Recognition for Historical VET Documentscited by 1
- 2026JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumescited by 1
- 2024Using generative AI to support standardization work -- the case of 3GPPcited by 0
- 2024Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classificationcited by 0
- 2026Leveraging LLMs For Turkish Skill Extractioncited by 0
- 2026Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Modelscited by 0
- 2026JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes13 Jul 2026
- 2026Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Models9 Mar 2026
- 2026Leveraging LLMs For Turkish Skill Extraction30 Jan 2026
- 2026Noise-Aware Named Entity Recognition for Historical VET Documents1 Jan 2026
- 2025CareerBERT: Matching Resumes to ESCO Jobs in a Shared Embedding Space for Generic Job Recommendations3 Mar 2025
- 2024Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification17 Dec 2024
- 2024Using generative AI to support standardization work -- the case of 3GPP8 Aug 2024
- 2024Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies29 Jul 2024
- 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods5 Mar 2024
- 2023Model-as-a-Service (MaaS): A Survey10 Nov 2023
- 2023Extreme Multi-Label Skill Extraction Training using Large Language Models20 Jul 2023