4 papers
HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in LLMs
Darsh Kachroo, Arjun Prasaath Anbazhagan, Adriana Caraeni +2
Direct Preference Optimization (DPO) is an effective framework for aligning large language models with human preferences, but it struggles with complex reasoning tasks. DPO optimiz…
Potential Energy Savings from Quantum Computing-Based Route Optimization
Ayush Nadiger, Adriana Caraeni, Katie Schouten
We investigate the potential of the Quantum Approximate Optimization Algorithm (QAOA) for reducing energy consumption in route planning, a key challenge in logistics due to the NP-…
Cognitive Offloading in Agile Teams: How Artificial Intelligence Reshapes Risk Assessment and Planning Quality
Adriana Caraeni, Alexander Shick, Andrew Lan
Recent advances in artificial intelligence (AI) have shown promise in automating key aspects of Agile project management, yet their impact on team cognition remains underexplored.…
Evaluating GPT-4 at Grading Handwritten Solutions in Math Exams
Adriana Caraeni, Alexander Scarlatos, Andrew Lan
Recent advances in generative artificial intelligence (AI) have shown promise in accurately grading open-ended student responses. However, few prior works have explored grading han…