Complete Bibliography

We credit the academic and industry researchers whose work enables SchoolsAdmissions. Each reference below links directly to the original publication for transparency.

Primary methodologies

1. Kim et al. (2025) · LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation

   KAIST · Carnegie Mellon University · Stanford University

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2. Allbert et al. (2025) · Evaluating Speech-to-Text × LLM × Text-to-Speech Combinations for AI Interview Systems

   micro1

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3. Ege & Ceyhan (2023) · Web-Client Cheating Detection

   Huawei Turkey R&D

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4. Wang et al. (2023) · InterviewBot: End-to-End Dialogue for Admissions

   Emory University · InitialView

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5. Liu et al. (2019) · RoBERTa: A Robustly Optimized BERT Pretraining Approach

   Facebook AI

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6. Roller et al. (2021) · Recipes for Building an Open-Domain Chatbot

   Facebook AI

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7. Zheng et al. (2023) · Judging LLM-as-a-Judge

   UC Berkeley · Carnegie Mellon University

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8. Min et al. (2023) · FactScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

   University of Washington

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9. Papandreou et al. (2018) · PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model

   Google Research

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