Cover Image

LLM-Driven Personalized Answer Generation and Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Molavi, Mohammadreza, Tavakoli, Mohammadreza, Moein, Mohammad, Faraji, Abdolali, Kismihók, Gábor
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Embedding-Based Rankings of Educational Resources based on Learning Outcome Alignment: Benchmarking, Expert Validation, and Learner Performance
by: Molavi, Mohammadreza, et al.
Published: (2025)

Designing Effective LLM-Assisted Interfaces for Curriculum Development
by: Faraji, Abdolali, et al.
Published: (2025)

Beyond Search Engines: Can Large Language Models Improve Curriculum Development?
by: Moein, Mohammad, et al.
Published: (2024)

The SVASR System for Text-dependent Speaker Verification (TdSV) AAIC Challenge 2024
by: Molavi, Mohammadreza, et al.
Published: (2024)

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation
by: Zugecova, Aneta, et al.
Published: (2024)

Certainty robustness: Evaluating LLM stability under self-challenging prompts
by: Saadat, Mohammadreza, et al.
Published: (2026)

The Generative Reasonable Person
by: Arbel, Yonathan A.
Published: (2025)

LLM-Driven Rubric-Based Assessment of Algebraic Competence in Multi-Stage Block Coding Tasks with Design and Field Evaluation
by: Lee, Yong Oh, et al.
Published: (2025)

Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models
by: Ayyoubzadeh, Seyed Moein, et al.
Published: (2025)

Exploring LGBTQ+ Bias in Generative AI Answers across Different Country and Religious Contexts
by: Vicsek, Lilla, et al.
Published: (2024)

Evaluating Contextually Personalized Programming Exercises Created with Generative AI
by: Logacheva, Evanfiya, et al.
Published: (2024)

Evaluating Reliability Asymmetries in Chinese Factual Search and AI Answers
by: Liu, Geng, et al.
Published: (2025)

The Limits of Goal-Setting Theory in LLM-Driven Assessment
by: Kumar, Mrityunjay
Published: (2025)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
by: Liu, Xiaoze, et al.
Published: (2024)

An Evaluation of Cultural Value Alignment in LLM
by: Sukiennik, Nicholas, et al.
Published: (2025)

The Potential of Answer Classes in Large-scale Written Computer-Science Exams -- Vol. 2
by: Lohr, Dominic, et al.
Published: (2024)

From Vision to Validation: A Theory- and Data-Driven Construction of a GCC-Specific AI Adoption Index
by: Albous, Mohammad Rashed, et al.
Published: (2025)

AI in Food Marketing from Personalized Recommendations to Predictive Analytics: Comparing Traditional Advertising Techniques with AI-Driven Strategies
by: Khamoushi, Elham
Published: (2024)

Balancing Innovation and Ethics in AI-Driven Software Development
by: Baqar, Mohammad
Published: (2024)

Automated Formative Feedback for Short-form Writing: An LLM-Driven Approach and Adoption Analysis
by: Tavares, Tiago Fernandes, et al.
Published: (2025)

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
by: Wang, Jiawei, et al.
Published: (2024)

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach
by: Jurenka, Irina, et al.
Published: (2024)

Theory Trace Card: Theory-Driven Socio-Cognitive Evaluation of LLMs
by: Karimi-Malekabadi, Farzan, et al.
Published: (2026)

Beyond Accuracy: Evaluating Strategy Diversity in LLM Mathematical Reasoning
by: Yang, Xia, et al.
Published: (2026)

Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits
by: Deng, Newnew, et al.
Published: (2025)

Mathematics Teachers Interactions with a Multi-Agent System for Personalized Problem Generation
by: Walkington, Candace, et al.
Published: (2026)

Unveiling User Perceptions in the Generative AI Era: A Sentiment-Driven Evaluation of AI Educational Apps' Role in Digital Transformation of e-Teaching
by: Mazaherian, Adeleh, et al.
Published: (2025)

Echoes of AI Harms: A Human-LLM Synergistic Framework for Bias-Driven Harm Anticipation
by: Tantalaki, Nicoleta, et al.
Published: (2025)

Personalized Knowledge Transfer Through Generative AI: Contextualizing Learning to Individual Career Goals
by: Mehlan, Ronja, et al.
Published: (2025)

AI-Generated Letters from the Future: A Randomized Test of Personalized Climate Communication
by: Powdthavee, Nattavudh, et al.
Published: (2026)

Integrated Framework for LLM Evaluation with Answer Generation
by: Lee, Sujeong, et al.
Published: (2025)

Willingness to Read AI-Generated News Is Not Driven by Their Perceived Quality
by: Gilardi, Fabrizio, et al.
Published: (2024)

Examining the Challenges of Intellectual Property in AI-Generated Productions
by: Mazhar, Ali, et al.
Published: (2026)

Should There be a Teacher In-the-Loop? A Study of Generative AI Personalized Tasks Middle School
by: Walkington, Candace, et al.
Published: (2026)

Beyond Access: Guided LLM Scaffolding for Independent Learning in Undergraduate Statistics
by: Amanlou, Mohammad, et al.
Published: (2026)

Transforming Student Evaluation with Adaptive Intelligence and Performance Analytics
by: S, Pushpalatha K, et al.
Published: (2025)

Evaluating General-Purpose AI with Psychometrics
by: Wang, Xiting, et al.
Published: (2023)

"I understand why I got this grade": Automatic Short Answer Grading with Feedback
by: Aggarwal, Dishank, et al.
Published: (2024)

Even More Kawaii than Real-Person-Driven VTubers? Understanding How Viewers Perceive AI-Driven VTubers
by: Wei, Yiluo, et al.
Published: (2025)

Governance Challenges in Reinforcement Learning from Human Feedback: Evaluator Rationality and Reinforcement Stability
by: Alsagheer, Dana, et al.
Published: (2025)