CLOct 11, 2023

QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking

Peking U
arXiv:2310.07609v1146 citationsh-index: 47
Originality Incremental advance
AI Analysis

This addresses the need for explainable fact-checking tools for users, though it is incremental as it builds on existing multi-hop reasoning methods.

The paper tackles the problem of opaque decision-making in fact-checking systems by proposing QACHECK, a system that uses question-guided multi-hop reasoning to verify claims and provides transparent reports with evidence sources.

Fact-checking real-world claims often requires complex, multi-step reasoning due to the absence of direct evidence to support or refute them. However, existing fact-checking systems often lack transparency in their decision-making, making it challenging for users to comprehend their reasoning process. To address this, we propose the Question-guided Multi-hop Fact-Checking (QACHECK) system, which guides the model's reasoning process by asking a series of questions critical for verifying a claim. QACHECK has five key modules: a claim verifier, a question generator, a question-answering module, a QA validator, and a reasoner. Users can input a claim into QACHECK, which then predicts its veracity and provides a comprehensive report detailing its reasoning process, guided by a sequence of (question, answer) pairs. QACHECK also provides the source of evidence supporting each question, fostering a transparent, explainable, and user-friendly fact-checking process. A recorded video of QACHECK is at https://www.youtube.com/watch?v=ju8kxSldM64

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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