2 citations · 3 across the 3 of their papers we have counts for
3 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★ 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★ 2 cited
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…