5 papers
Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction
Vivaan Sandwar, Bhav Jain, Rishan Thangaraj +3
Debate is a commonly used form of human communication catered towards problem-solving because of its efficiency. Debate fundamentally allows multiple viewpoints to be brought up in…
Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting
Vijay Goyal, Mustafa Khan, Aprameya Tirupati +3
Large language models (LLMs) have demonstrated remarkable performance across a wide range of natural language processing (NLP) tasks. However, these models are often difficult to d…
Turkey's Earthquakes: Damage Prediction and Feature Significance Using A Multivariate Analysis
Shrey Shah, Alex Lin, Scott Lin +3
Accurate damage prediction is crucial for disaster preparedness and response strategies, particularly given the frequent earthquakes in Turkey. Utilizing datasets on earthquake dat…
A Debate-Driven Experiment on LLM Hallucinations and Accuracy
Ray Li, Tanishka Bagade, Kevin Martinez +4
Large language models (LLMs) have achieved a degree of success in generating coherent and contextually relevant text, yet they remain prone to a significant challenge known as hall…
Medical Imaging Complexity and its Effects on GAN Performance
William Cagas, Chan Ko, Blake Hsiao +4
The proliferation of machine learning models in diverse clinical applications has led to a growing need for high-fidelity, medical image training data. Such data is often scarce du…