4 papers · 1 filter
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…
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…
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…