43 citations · 46 across the 7 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.CL2024★ 1 cited
Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science
Taihang Wang, Xiaoman Xu, Yimin Wang +1
Real-world applications of large language models (LLMs) in computational social science (CSS) tasks primarily depend on the effectiveness of instruction tuning (IT) or in-context l…
cs.LG2024★ 1 cited
Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
Ye Jiang, Taihang Wang, Xiaoman Xu +3
The nascent topic of fake news requires automatic detection methods to quickly learn from limited annotated samples. Therefore, the capacity to rapidly acquire proficiency in a new…
cs.CL2024★ 1 cited
Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection
Ye Jiang, Yimin Wang
Large visual-language models (LVLMs) exhibit exceptional performance in visual-language reasoning across diverse cross-modal benchmarks. Despite these advances, recent research ind…