Small Models Achieve Large Language Model Performance: Evaluating Reasoning-Enabled AI for Secure Child Welfare Research.
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| Title: | Small Models Achieve Large Language Model Performance: Evaluating Reasoning-Enabled AI for Secure Child Welfare Research. |
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| Authors: | Qi Z; School of Social Work, University of Michigan, Ann Arbor, MI, USA., Perron BE; School of Social Work, University of Michigan, Ann Arbor, MI, USA., Victor BG; School of Social Work, Wayne State University, Detroit, MI, USA.; Merrill Palmer Skillman Institute, Wayne State University, Detroit, MI, USA., Stoll D; School of Social Work, ZHAW Zurich University of Applied Sciences, Zurich, Switzerland., Ryan JP; School of Social Work, University of Michigan, Ann Arbor, MI, USA. |
| Source: | Journal of evidence-based social work (2019) [J Evid Based Soc Work (2019)] 2026 Jan 18, pp. 1-22. Date of Electronic Publication: 2026 Jan 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Online Country of Publication: United States NLM ID: 101766756 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2640-8074 (Electronic) Linking ISSN: 26408066 NLM ISO Abbreviation: J Evid Based Soc Work (2019) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2640-8074 |
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| DOI: | 10.1080/26408066.2026.2616711 |
