14 citations · 17 across the 4 of their papers we have counts for
4 papers
Multimodal Misinformation Detection by Learning from Synthetic Data with Multimodal LLMs
Fengzhu Zeng, Wenqian Li, Wei Gao +1
Detecting multimodal misinformation, especially in the form of image-text pairs, is crucial. Obtaining large-scale, high-quality real-world fact-checking datasets for training dete…
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
Fengzhu Zeng, Wei Gao
Justification is an explanation that supports the veracity assigned to a claim in fact-checking. However, the task of justification generation is previously oversimplified as summa…
Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset
Fengzhu Zeng, Wei Gao
Little attention has been paid on \underline{EA}rly \underline{R}umor \underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the a…
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models
Fengzhu Zeng, Wei Gao
Few-shot or zero-shot fact verification only relies on a few or no labeled training examples. In this paper, we propose a novel method called ProToCo, to \underline{Pro}mpt pre-tra…