1 citations · 2 across the 8 of their papers we have counts for
8 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…
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors
Patricia Dao, Jashmitha Sappa, Saanvi Terala +3
Traditional crime prediction techniques are slow and inefficient when generating predictions as crime increases rapidly \cite{r15}. To enhance traditional crime prediction methods,…
Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection
Samir Kassam, Angelo Markham, Katie Vo +3
Gliomas, a common type of malignant brain tumor, present significant surgical challenges due to their similarity to healthy tissue. Preoperative Magnetic Resonance Imaging (MRI) im…
Enhancing Depression Diagnosis with Chain-of-Thought Prompting
Elysia Shi, Adithri Manda, London Chowdhury +3
When using AI to detect signs of depressive disorder, AI models habitually draw preemptive conclusions. We theorize that using chain-of-thought (CoT) prompting to evaluate Patient…