M^3Check: A Demonstration System for Multilingual Multi-clue Multi-Hop Fact-Checking

Imagine that, while we cannot simply Google a complex claim, we can still find some relevant clues to help us. The question is, how can we use these clues to verify the input claim? M^3Check is a RAG model that follows three major steps: 1) break down the claim into clues, 2) verify each clue based on articles, and 3) conclude, check, and reason the claim based on a structured, supervised, and verified chain of clues. This project leverages findings from multiple projects, offering a good example of how research outcomes can be applied to address a real-world problem.

Barid Xi Ai
Barid Xi Ai
Research Fellow

Postdoctoral Research Fellow at WING

Xinyuan Lu
Xinyuan Lu
ISEP Doctoral Student (Jan ‘20)

PhD Candidate January 2020 Intake

Liangming Pan
Doctoral Alumnus (Apr ‘22). Thesis: Towards Generating Deep Questions from Text.

Doctoral Alumnus (Apr ‘22).

Tianyi Zhu
Tianyi Zhu
UROP Student (Jan ‘25)

UROP student

Sahej Agarwal
Sahej Agarwal
UROP Student (Jan ‘25)

UROP Student

Mahardika Krisna Ihsani
Mahardika Krisna Ihsani
SRI Intern (Jul ‘24)

Summer Research Intern (SRI Programme)

Min-Yen Kan
Min-Yen Kan
Associate Professor

WING lead; interests include Digital Libraries, Information Retrieval and Natural Language Processing.