[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models

Paper list of misinformation research using (multi-modal) large language models, i.e., (M)LLMs.

[ICLR 2023] Code for the paper "Binding Language Models in Symbolic Languages"

ICLR 2022 Paper, SOTA Table Pre-training Model, TAPEX: Table Pre-training via Learning a Neural SQL Executor

[Preprint] Learning to Filter Context for Retrieval-Augmented Generaton

The source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

Find helpful tools and resources to help you fact check and analyse, fake news and AI generated imagery.

Fact Verification for Clinical Notes with LLMs

This is the PyTorch code + data repository for paper "Hierarchical Multi-head Attentive Network for Evidence-aware Fake News Detection", EACL 2021

Unofficial implementation of Microsoft’s Claimify Paper: extracts specific, verifiable, decontextualized claims from LLM Q&A to be used for Hallucination, Groundedness, Relevancy and Truthfulness detection

Open Knowledge Enrichment for Long-tail Entities, WWW 2020

The code for HerO: a fact-checking pipeline based on open LLMs (the runner-up in AVeriTeC)

AAAI-24 CFEVER: A Chinese Fact Extraction and VERification Dataset

[EMNLP 2021] Table-based Fact Verification with Salience-aware Learning.

This repository contains the code to reproduce the work "Automated Fact-Checking in Brazilian Portuguese: Resources and Baselines", accepted at STIL 2025.

Code for AAAI 2024 Workshop Paper: “Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuning”

The first dataset for Farsi fact extraction and verification

A fact verification system for Web Search and Text Analysis(COMP90042) of Unimelb 2019 Semester1. Original shared task: http://fever.ai/task.html

Collection of Portuguese Fact-Checking Benchmarks.