Multi-Model Study

Momentum

5 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28

Latest papers 30

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  1. Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study

    Sep 28, 2026Rafael Garcia-Dias, Alexandre Triay Bagur, Chayanin Tangwiriyasakul +20Federated LearningHealthcare

  2. Cognitive Skills in the Age of AI: Computing Students and Experts Perceptions

    Sep 25, 2026Neha Rani, Vu Minh Anh Le, Austin M. Spangler +1Artificial Intelligence LiteracyComputer Science

  3. Explainable Prediction from Mobile Sensing Data through LLM-guided Concept Integration

    Sep 14, 2026Yuning Wang, Iman Azimi, Amir M. Rahmani +1Clinical PredictionMulti-Model Study

  4. Integrating AI into Requirements Quality Learning in Software Engineering Education: A TPACK-Guided Empirical Study

    Jul 30, 2026Hansika Ekanayake Mudiyanselage, Rohan Jai Dharmaraj, Malik Abdul Sami +1Computer ScienceMulti-Model Study

  5. Marine Engine Fault Dataset: Open-Access Data under Controlled Reference and Fault Scenario Conditions

    Jul 21, 2026Ahmad BahooToroody, Oleksiy Bondarenko, Mohammad Mahdi Abaei +2Predictive MaintenanceMulti-Model Study

  6. How Do Practitioners Build SE Agents? Insights from a Mixed-Methods Study

    Jul 12, 2026Yunbo Lyu, David Williams, Jieke Shi +5Software EngineeringCoding Agents

  7. SpeechDx: A Multi-Task Benchmark for Clinical Speech AI

    Jun 15, 2026Sejal Bhalla, Larry Kieu, Aina Merchant +2Multi-Model Study

  8. AI tools in Arab University English classrooms: Looking back and forward

    Jun 8, 2026Mohammed Q. Shormani, Muneef Yehia AlshawshClassroomsArabic

  9. AI-Generated Traces for Novice Programmers: Learning Effects and Learner Differences in a Multi-Institutional Study

    Jun 2, 2026Yuri Noviello, Naaz Sibia, Anastasiia Birillo +3Ai-Assisted Programming TasksTraces

  10. When LLMs Learn to Be Consistently Wrong: A Multi-Model Study of Linear Representations of Synthetic Deception

    May 28, 2026Vahideh ZolfaghariDeceptionLayer-Wise

  11. AI-Automation Tooling in Computer Engineering Education: Mixed-Methods TAM/UTAUT Evidence for a General Acceptance Attitude

    May 10, 2026Aung PyaeComputer ScienceSoftware Engineering

  12. From Awareness to Action: Understanding and Overcoming the Research-Practice Gap in Algorithmic Fairness for Public Health

    May 2, 2026Sara Altamirano, Tijs Portegies, Sennay GhebreabAlgorithmic FairnessMulti-Model Study

  13. Consumer Attitudes Towards AI in Digital Health: A Mixed-Methods Survey in Australia

    Apr 30, 2026Wei Zhou, Rashina Hoda, Joycelyn LingHealthcareMulti-Model Study

  14. Co-Writing with AI: An Empirical Study of Diverse Academic Writing Workflows

    Apr 28, 2026Silvia Bodei, Duncan P. Brumby, Katie Fisher +1WritingArtificial Intelligence Literacy

  15. AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report

    Apr 25, 2026Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam +2Code QualityComputer Science

  16. Ensembles of Large Language Models for Identifying EQ-5D Studies in PubMed Based on Their Abstracts

    Apr 24, 2026Zhyar Rzgar K. Rostam, Márta Péntek, János Tibor Czere +3Systematic ReviewBiomedical Text

  17. LLM-assisted sentiment analysis for integrated computational and qualitative mixed methods education research: A case study of students' written reflection assignments

    Apr 24, 2026Xiomara Gonzalez, Gabriella Coloyan Fleming, Andrew Katz +2Qualitative ResearchSentiment

  18. The Reliance Negotiation Framework: A Dynamic Process Model of Student LLM Engagement in Academic Writing

    Apr 18, 2026Shahin HossainAcademic IntegrityArtificial Intelligence Literacy

  19. No Universal Courtesy: A Cross-Linguistic, Multi-Model Study of Politeness Effects on LLMs Using the PLUM Corpus

    Apr 17, 2026Hitesh Mehta, Arjit Saxena, Garima Chhikara +1Large Language Model BiasPrompt Engineering