2 papers
cs.CL2024
Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models
Haoyan Yang, Yixuan Wang, Keyue Tong +2
This paper proposes a detailed prompting flow, termed Table-Logic, to investigate the performance contrasts between bigger and smaller language models (LMs) utilizing step-by-step…
cs.CL2024
Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer
Haoyan Yang, Yixuan Wang, Xingyin Xu +2
The study explores mitigating overconfidence bias in LLMs to improve their reliability. We introduce a knowledge transfer (KT) method utilizing chain of thoughts, where "big" LLMs…