3 papers
cs.CL2025
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition
Tyler McDonald, Ali Emami
Knowledge distillation allows smaller neural networks to emulate the performance of larger, teacher models with reduced computational demands. Traditional methods for Large Languag…
cs.CL2024
Can We Afford The Perfect Prompt? Balancing Cost and Accuracy with the Economical Prompting Index
Tyler McDonald, Anthony Colosimo, Yifeng Li +1
As prompt engineering research rapidly evolves, evaluations beyond accuracy are crucial for developing cost-effective techniques. We present the Economical Prompting Index (EPI), a…
cs.CL2024
NYT-Connections: A Deceptively Simple Text Classification Task that Stumps System-1 Thinkers
Angel Yahir Loredo Lopez, Tyler McDonald, Ali Emami
Large Language Models (LLMs) have shown impressive performance on various benchmarks, yet their ability to engage in deliberate reasoning remains questionable. We present NYT-Conne…