435 citations
- Queen's UniversityCA6 papers
- California Institute of TechnologyUS5 papers
- Consejo Superior de Investigaciones CientíficasES5 papers
- Fermi National Accelerator LaboratoryUS5 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS5 papers
- Laurentian UniversityCA5 papers
- Lawrence Berkeley National LaboratoryUS5 papers
- Mitchell InstituteUS5 papers
- National Institute of Science Education and ResearchIN5 papers
- Pacific Northwest National LaboratoryUS5 papers
- Santa Clara UniversityUS5 papers
- SLAC National Accelerator LaboratoryUS5 papers
41 papers
Dynamic Framework for Collaborative Learning: Leveraging Advanced LLM with Adaptive Feedback Mechanisms
Hassam Tahir, Faizan Faisal, Fady Alnajjar +5
This paper presents a framework for integrating LLM into collaborative learning platforms to enhance student engagement, critical thinking, and inclusivity. The framework employs a…
An exact pricing algorithm for revenue maximization under the logit demand function
Moddassir Khan Nayeem, Omar Abbaas, Suzan Alaswad +1
Determining the optimal selling price is a challenge in revenue management, especially in markets characterized by nonlinear and price-sensitive demand. While traditional models, s…
Search for low-mass electron-recoil dark matter using a single-charge sensitive SuperCDMS-HVeV Detector
SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib +146
We present constraints on low-mass dark matter electron scattering and absorption interactions using a SuperCDMS high-voltage eV-resolution (HVeV) detector. Data were taken undergr…
Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
David Santandreu Calonge, Linda Smail
This review examines recent advances in Parameter-Efficient Fine-Tuning (PEFT), with a focus on Low-Rank Adaptation (LoRA), to optimize Retrieval-Augmented Generation (RAG) systems…
Can Large Language Models Bridge the Gap in Environmental Knowledge?
Linda Smail, David Santandreu Calonge, Firuz Kamalov +1
This research investigates the potential of Artificial Intelligence (AI) models to bridge the knowledge gap in environmental education among university students. By focusing on pro…
Low-Energy Calibration of SuperCDMS HVeV Cryogenic Silicon Calorimeters Using Compton Steps
SuperCDMS Collaboration, M. F. Albakry, I. Alkhatib +148
Cryogenic calorimeters for low-mass dark matter searches have achieved sub-eV energy resolutions, driving advances in both low-energy calibration techniques and our understanding o…