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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★ 1 cited
BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports
Yuxuan Chen, Haoyan Yang, Hengkai Pan +6
Breast ultrasound is essential for detecting and diagnosing abnormalities, with radiology reports summarizing key findings like lesion characteristics and malignancy assessments. E…
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…