activity
20232026
most citedAre Large Language Models Good Fact Checkers: A Preliminary Study

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection

Mengyang Chen, Lingwei Wei, Han Cao +3

Fake news generally refers to false information that is spread deliberately to deceive people, which has detrimental social effects. Existing fake news detection methods primarily…

cs.CL2025

Enhancing Multi-Hop Fact Verification with Structured Knowledge-Augmented Large Language Models

Han Cao, Lingwei Wei, Wei Zhou +1

The rapid development of social platforms exacerbates the dissemination of misinformation, which stimulates the research in fact verification. Recent studies tend to leverage seman…

cs.MM2024

Multi-source Knowledge Enhanced Graph Attention Networks for Multimodal Fact Verification

Han Cao, Lingwei Wei, Wei Zhou +1

Multimodal fact verification is an under-explored and emerging field that has gained increasing attention in recent years. The goal is to assess the veracity of claims that involve…

cs.CL2023★ 1 cited

Are Large Language Models Good Fact Checkers: A Preliminary Study

Han Cao, Lingwei Wei, Mengyang Chen +2

Recently, Large Language Models (LLMs) have drawn significant attention due to their outstanding reasoning capabilities and extensive knowledge repository, positioning them as supe…

cs.CL2023★ 1 cited

Explore the Potential of LLMs in Misinformation Detection: An Empirical Study

Mengyang Chen, Lingwei Wei, Han Cao +2

Large Language Models (LLMs) have garnered significant attention for their powerful ability in natural language understanding and reasoning. In this paper, we present a comprehensi…