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20192024
most citedMed-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain

11 citations · 26 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 1 cited

Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization

Min Zhang, Jianfeng He, Shuo Lei +3

The meaning of complex phrases in natural language is composed of their individual components. The task of compositional generalization evaluates a model's ability to understand ne…

cs.CL2023

Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission

Jianfeng He, Linlin Yu, Shuo Lei +2

Sequential labeling is a task predicting labels for each token in a sequence, such as Named Entity Recognition (NER). NER tasks aim to extract entities and predict their labels giv…

cs.CV2023

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation

Linhan Wang, Shuo Lei, Jianfeng He +3

Remote sensing image semantic segmentation is an important problem for remote sensing image interpretation. Although remarkable progress has been achieved, existing deep neural net…

cs.SI2023★ 11 cited

Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain

Yanshen Sun, Jianfeng He, Shuo Lei +2

The pervasive influence of misinformation has far-reaching and detrimental effects on both individuals and society. The COVID-19 pandemic has witnessed an alarming surge in the dis…

cs.CL2023

TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation

Shuo Lei, Xuchao Zhang, Jianfeng He +2

Meta-learning has emerged as a trending technique to tackle few-shot text classification and achieve state-of-the-art performance. However, the performance of existing approaches h…