Image de couverture de livre

Evaluating LLMs for Career Guidance: Comparative Analysis of Computing Competency Recommendations Across Ten African Countries

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Eze, Precious, Lunn, Stephanie, Berhane, Bruk
Format:	Preprint
Publié:	2025
Sujets:	Computers and Society Artificial Intelligence K.3.2; I.2.7
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Enhancing Computer Programming Education with LLMs: A Study on Effective Prompt Engineering for Python Code Generation
par: Wang, Tianyu, et autres
Publié: (2024)

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

CS-Guide: Leveraging LLMs and Student Reflections to Provide Frequent, Scalable Academic Monitoring Feedback to Computer Science Students
par: Chacko, Samuel Jacob, et autres
Publié: (2025)

Automating Autograding: Large Language Models as Test Suite Generators for Introductory Programming
par: Alkafaween, Umar, et autres
Publié: (2024)

Self-hosted Lecture-to-Quiz: Local LLM MCQ Generation with Deterministic Quality Control
par: Shintani, Seine A.
Publié: (2026)

A Prescriptive Framework for Determining Optimal Days for Short-Term Traffic Counts
par: Mukwaya, Arthur, et autres
Publié: (2025)

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

Ensemble ToT of LLMs and Its Application to Automatic Grading System for Supporting Self-Learning
par: Ito, Yuki, et autres
Publié: (2025)

Integrating Generative AI in Cybersecurity Education: Case Study Insights on Pedagogical Strategies, Critical Thinking, and Responsible AI Use
par: Elkhodr, Mahmoud, et autres
Publié: (2025)

Autonomous Penetration Testing: Solving Capture-the-Flag Challenges with LLMs
par: Bakker, Isabelle, et autres
Publié: (2025)

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

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

SectEval: Evaluating the Latent Sectarian Preferences of Large Language Models
par: Maheshwari, Aditya, et autres
Publié: (2026)

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers
par: Wang, Haochuan Kevin, et autres
Publié: (2026)

Human-in-the-Loop Benchmarking of Heterogeneous LLMs for Automated Competency Assessment in Secondary Level Mathematics
par: Bhusal, Jatin, et autres
Publié: (2026)

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

The Company You Keep: How LLMs Respond to Dark Triad Traits
par: Lu, Zeyi, et autres
Publié: (2026)

Chatbot Deployment Considerations for Application-Agnostic Human-Machine Dialogues
par: Rivas, Pablo, et autres
Publié: (2025)

Toward Architecture-Aware Evaluation Metrics for LLM Agents
par: Souza, Débora, et autres
Publié: (2026)

Evaluation of Hate Speech Detection Using Large Language Models and Geographical Contextualization
par: Zahid, Anwar Hossain, et autres
Publié: (2025)

Language model driven: a PROTAC generation pipeline with dual constraints of structure and property
par: Shao, Jinsong, et autres
Publié: (2024)

Bye Bye Perspective API: Lessons for Measurement Infrastructure in NLP, CSS and LLM Evaluation
par: Hartmann, David, et autres
Publié: (2026)

RomanLens: The Role Of Latent Romanization In Multilinguality In LLMs
par: Saji, Alan, et autres
Publié: (2025)

Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI
par: Qi, Jinhu, et autres
Publié: (2026)

Cyber Defense Benchmark: Agentic Threat Hunting Evaluation for LLMs in SecOps
par: Chona, Alankrit, et autres
Publié: (2026)

Automated but Atrophied? Student Over-Reliance vs Expert Augmentation of AI in Learning and Cybersecurity
par: Khan, Koffka
Publié: (2025)

Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
par: Leonesi, Matteo, et autres
Publié: (2026)

Using Sentiment Analysis to Investigate Peer Feedback by Native and Non-Native English Speakers
par: Exline, Brittney, et autres
Publié: (2025)

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

REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
par: Cohen, Liran, et autres
Publié: (2025)

Efficacy of a Computer Tutor that Models Expert Human Tutors
par: Olney, Andrew M., et autres
Publié: (2025)

Exploring and Mitigating Gender Bias in Encoder-Based Transformer Models
par: Hossain, Ariyan, et autres
Publié: (2025)

Qwerty AI: Explainable Automated Age Rating and Content Safety Assessment for Russian-Language Screenplays
par: Zmanovskii, Nikita
Publié: (2025)

From Untamed Black Box to Interpretable Pedagogical Orchestration: The Ensemble of Specialized LLMs Architecture for Adaptive Tutoring
par: Kadir, Nizam
Publié: (2026)

Before the Last Token: Diagnosing Final-Token Safety Probe Failures
par: Doda, Shravan
Publié: (2026)

IntelliCode: A Multi-Agent LLM Tutoring System with Centralized Learner Modeling
par: David, Jones, et autres
Publié: (2025)

PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
par: Zhang, Zhaowei, et autres
Publié: (2025)

Rejected Dialects: Biases Against African American Language in Reward Models
par: Mire, Joel, et autres
Publié: (2025)

LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
par: Lucas, Tom, et autres
Publié: (2026)

Predicting Known Vulnerabilities from Attack Descriptions Using Sentence Transformers
par: Othman, Refat
Publié: (2026)