Cover Image

Self-hosted Lecture-to-Quiz: Local LLM MCQ Generation with Deterministic Quality Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Shintani, Seine A.
Format:	Preprint
Published:	2026
Subjects:	Computers and Society Computation and Language I.2.7; K.3.2
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AI to Learn 2.0: A Deliverable-Oriented Governance Framework and Maturity Rubric for Opaque AI in Learning-Intensive Domains
by: Shintani, Seine A.
Published: (2026)

Automating Autograding: Large Language Models as Test Suite Generators for Introductory Programming
by: Alkafaween, Umar, et al.
Published: (2024)

Arithmetic OOD Failure Unfolds in Stages in Minimal GPTs
by: Shintani, Seine A.
Published: (2026)

Evaluating LLMs for Career Guidance: Comparative Analysis of Computing Competency Recommendations Across Ten African Countries
by: Eze, Precious, et al.
Published: (2025)

Beyond the Cloud: Assessing the Benefits and Drawbacks of Local LLM Deployment for Translators
by: Sandrini, Peter
Published: (2025)

CS-Guide: Leveraging LLMs and Student Reflections to Provide Frequent, Scalable Academic Monitoring Feedback to Computer Science Students
by: Chacko, Samuel Jacob, et al.
Published: (2025)

Navigational Thinking as an Emerging Paradigm of Computer Science in the Age of Generative AI
by: Levin, Ilya
Published: (2026)

Ensemble ToT of LLMs and Its Application to Automatic Grading System for Supporting Self-Learning
by: Ito, Yuki, et al.
Published: (2025)

Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use
by: Elkhodr, Mahmoud, et al.
Published: (2025)

How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses
by: Leppänen, Leo, et al.
Published: (2025)

Using Vision + Language Models to Predict Item Difficulty
by: Khan, Samin
Published: (2026)

Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation
by: Wang, Tianyu, et al.
Published: (2024)

Methodological Foundations for AI-Driven Survey Question Generation
by: Mburu, Ted K., et al.
Published: (2025)

GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction
by: Felkner, Virginia K., et al.
Published: (2024)

Textual Entailment is not a Better Bias Metric than Token Probability
by: Felkner, Virginia K., et al.
Published: (2025)

Leveraging Multi-Source Textural UGC for Neighbourhood Housing Quality Assessment: A GPT-Enhanced Framework
by: Hong, Qiyuan, et al.
Published: (2025)

Autonomous Penetration Testing: Solving Capture-the-Flag Challenges with LLMs
by: Bakker, Isabelle, et al.
Published: (2025)

Beyond End-to-End Video Models: An LLM-Based Multi-Agent System for Educational Video Generation
by: Yan, Lingyong, et al.
Published: (2026)

Do Small Language Models Know When They're Wrong? Confidence-Based Cascade Scoring for Educational Assessment
by: Burleigh, Tyler
Published: (2026)

ChatGPT and Gemini participated in the Korean College Scholastic Ability Test -- Earth Science I
by: Ga, Seok-Hyun, et al.
Published: (2025)

Who judges the judges? Governance from metrics: a runtime framework for continuous LLM compliance monitoring
by: Dussert, Jehanne
Published: (2026)

Natural Language Processing: A Comprehensive Practical Guide from Tokenisation to RLHF
by: Arabov, Mullosharaf K.
Published: (2026)

Using Sentiment Analysis to Investigate Peer Feedback by Native and Non-Native English Speakers
by: Exline, Brittney, et al.
Published: (2025)

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat
by: Li, Zhuofang, et al.
Published: (2025)

Synthetic Student Responses: LLM-Extracted Features for IRT Difficulty Parameter Estimation
by: Hoyl, Matias
Published: (2026)

Anka: A Domain-Specific Language for Reliable LLM Code Generation
by: Mazrouei, Saif Khalfan Saif Al
Published: (2025)

The Invisible Coalition Partner: How LLMs Vote When Democracy Gets Concrete
by: Barmettler, Joel
Published: (2026)

WSC+: Enhancing The Winograd Schema Challenge Using Tree-of-Experts
by: Zahraei, Pardis Sadat, et al.
Published: (2024)

An Eye for an AI: Evaluating GPT-4o's Visual Perception Skills and Geometric Reasoning Skills Using Computer Graphics Questions
by: Feng, Tony Haoran, et al.
Published: (2024)

From 50% to Mastery in 3 Days: A Low-Resource SOP for Localizing Graduate-Level AI Tutors via Shadow-RAG
by: Yang, Zonglin, et al.
Published: (2026)

Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
by: Abzianidze, Lasha
Published: (2023)

Towards Fairer Health Recommendations: finding informative unbiased samples via Word Sense Disambiguation
by: Butts, Gavin, et al.
Published: (2024)

Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use
by: Ho, Justin, et al.
Published: (2025)

The Democratic Paradox in Large Language Models' Underestimation of Press Freedom
by: Loaiza, I., et al.
Published: (2025)

Benchmarking Educational LLMs with Analytics: A Case Study on Gender Bias in Feedback
by: Du, Yishan, et al.
Published: (2025)

Understanding Gen Alpha Digital Language: Evaluation of LLM Safety Systems for Content Moderation
by: Mehta, Manisha, et al.
Published: (2025)

Large Language Model (LLM) Bias Index -- LLMBI
by: Oketunji, Abiodun Finbarrs, et al.
Published: (2023)

Benchmarking Bengali Dialectal Bias: A Multi-Stage Framework Integrating RAG-Based Translation and Human-Augmented RLAIF
by: Sami, K. M. Jubair, et al.
Published: (2026)

How Utilitarian Are OpenAI's Models Really? Replicating and Reinterpreting Pfeffer, Krügel, and Uhl (2025)
by: Himmelreich, Johannes
Published: (2026)

Rejected Dialects: Biases Against African American Language in Reward Models
by: Mire, Joel, et al.
Published: (2025)