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AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening
10 references·0 citing·41 second hop
AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening (2025)AI Hiring with LLMs: A Context-Aware and …Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval (2024)Gender, Race, and Intersectio…Resume Screening using NLP and LSTM (2022)Resume Screening using NLP an…Resume Classification System using Natural Language Processing and Machine Learning Techniques (2022)Resume Classification System …Resume Screening Using Natural Language Processing and Machine Learning: A Systematic Review (2021)Resume Screening Using Natura…Preferring the devil you know: Potential applicant reactions to artificial intelligence evaluation of interviews (2021)Preferring the devil you know…Design and development of machine learning based resume ranking system (2021)Design and development of mac…Skills prediction based on multi-label resume classification using CNN with model predictions explanation (2020)Skills prediction based on mu…Mitigating Demographic Bias in AI-based Resume Filtering (2020)Mitigating Demographic Bias i…Ethical Considerations in AI-Based Recruitment (2019)Ethical Considerations in AI-…Investigating the Impact of Gender on Rank in Resume Search Engines (2018)Investigating the Impact of G…Are Emily and Greg More Employable Than Lakisha and Jamal? A Field Experiment on Labor Market Discrimination (2004)Fairness through awareness (2012)Big Data's Disparate Impact (2014)The fallacy of inscrutability (2018)Measuring Misinformation in Video Search Platforms: An Audit Study on YouTube (2020)Building and Auditing Fair Algorithms (2021)THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS (1991)AI-enabled Enterprise Information Systems for Manufacturing (2021)Is AI recruiting (un)ethical? A human rights perspective on the use of AI for hiring (2022)Fairness, AI & recruitment (2024)Certifying and Removing Disparate Impact (2015)Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings (2016)Fairness metrics and bias mitigation strategies for rating predictions (2021)Utilizing data driven methods to identify gender bias in LinkedIn profiles (2023)Autonomy by Design: Preserving Human Autonomy in AI Decision-Support (2025)Internationally Comparable Measures of Occupational Status for the 1988 International Standard Classification of Occupations (1996)On-line consistent ranking on e-recruitment: seeking the truth behind a well-formed CV (2013)A Context-Aware Approach for Extracting Hard and Soft Skills (2021)Resume Parsing Framework for E-recruitment (2022)Generating Synthetic Resume Data with Large Language Models for Enhanced Job Description Classification (2023)Job Market Signaling (1973)Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. (2000)Building a practically useful theory of goal setting and task motivation: A 35-year odyssey. (2002)Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover (2022)Responsible artificial intelligence in human resources management: a review of the empirical literature (2023)Impact of AI-focussed technologies on social and technical competencies for HR managers – A systematic review and research agenda (2024)The Employment Interview Context: Social and Situational Influences on Interviewer Decisions1 (1996)A fuzzy model for competency-based employee evaluation and selection (2007)A Machine Learning approach for automation of Resume Recommendation system (2020)Resume Screening using Machine Learning and NLP: A proposed system (2022)Resume Classification Using ML Techniques (2023)AI-Powered Talent Acquisition: Enhancing Recruitment and Workforce Analytics Using Machine Learning (2025)A domain adaptation approach for resume classification using graph attention networks and natural language processing (2023)Application of LLM Agents in Recruitment: A Novel Framework for Automated Resume Screening (2024)Augmenting Human Decision-Making in K-12 Education: The Role of Artificial Intelligence in Assisting the Recruitment and Retention of Teachers of Color for Enhanced Diversity and Inclusivity (2024)Resume Screening With Natural Language Processing (NLP) (2024)YAPAY ZEKANIN İŞE ALIM SÜREÇLERİNDE KULLANIMI VE ALGORİTMİK AYRIMCILIK (2024)Resume2Vec: Transforming Applicant Tracking Systems with Intelligent Resume Embeddings for Precise Candidate Matching (2025)A Research Landscape of Agentic AI and Large Language Models: Applications, Challenges and Future Directions (2025)Research evaluation with ChatGPT: is it age, country, length, or field biased? (2025)Artificial Intelligence (AI) in human resource management (HRM): a systematic review of its dual impact on diversity, equity, and inclusion (DEI) (2026)
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References

  • 2018Investigating the Impact of Gender on Rank in Resume Search Engines155 cited
  • 2021Preferring the devil you know: Potential applicant reactions to artificial intelligence evaluation of interviews147 cited
  • 2019Ethical Considerations in AI-Based Recruitment142 cited
  • 2022Resume Classification System using Natural Language Processing and Machine Learning Techniques78 cited
  • 2024Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval74 cited
  • 2020Mitigating Demographic Bias in AI-based Resume Filtering72 cited
  • 2021Design and development of machine learning based resume ranking system59 cited
  • 2020Skills prediction based on multi-label resume classification using CNN with model predictions explanation49 cited
  • 2021Resume Screening Using Natural Language Processing and Machine Learning: A Systematic Review43 cited
  • 2022Resume Screening using NLP and LSTM42 cited

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