SOTAVerified

Fact Verification

Fact verification, also called "fact checking", is a process of verifying facts in natural text against a database of facts.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 216 papers

TitleStatusHype
ViWikiFC: Fact-Checking for Vietnamese Wikipedia-Based Textual Knowledge Source—0
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models—0
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization—0
Towards a Search Engine for Machines: Unified Ranking for Multiple Retrieval-Augmented Large Language ModelsCode0
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking—0
Towards a Framework for Evaluating Explanations in Automated Fact VerificationCode0
Bridging Textual and Tabular Worlds for Fact Verification: A Lightweight, Attention-Based ModelCode0
Attribute First, then Generate: Locally-attributable Grounded Text GenerationCode1
M3: A Multi-Task Mixed-Objective Learning Framework for Open-Domain Multi-Hop Dense Sentence RetrievalCode0
Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-TuningCode0
xLP: Explainable Link Prediction for Master Data Management—0
Rethinking Loss Functions for Fact VerificationCode0
FaaF: Facts as a Function for the evaluation of generated textCode0
Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door AdjustmentCode0
CFEVER: A Chinese Fact Extraction and VERification DatasetCode0
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models—0
Large Language Model for Table Processing: A Survey—0
Are Large Language Models Table-based Fact-Checkers?Code0
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification—0
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability—0
Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingCode2
Are Large Language Models Good Fact Checkers: A Preliminary Study—0
Learning to Filter Context for Retrieval-Augmented GenerationCode2
ChartCheck: Explainable Fact-Checking over Real-World Chart ImagesCode1
An Empirical Study of Using ChatGPT for Fact Verification Task—0
XFEVER: Exploring Fact Verification across LanguagesCode0
Language Models Hallucinate, but May Excel at Fact VerificationCode0
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact VerificationCode0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationCode0
KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language ModelsCode1
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionCode4
EX-FEVER: A Dataset for Multi-hop Explainable Fact VerificationCode1
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and ContextCode0
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting MethodCode1
Unsupervised Pretraining for Fact Verification by Language Model DistillationCode0
Investigating Zero- and Few-shot Generalization in Fact VerificationCode0
Structural Self-Supervised Objectives for TransformersCode0
Findings of Factify 2: Multimodal Fake News Detection—0
Heuristic Heterogeneous Graph Reasoning Networks for Fact VerificationCode0
Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language ModelsCode0
AlignScore: Evaluating Factual Consistency with a Unified Alignment FunctionCode4
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyCode0
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering—0
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering—0
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification—0
Growing and Serving Large Open-domain Knowledge Graphs—0
FactKG: Fact Verification via Reasoning on Knowledge GraphsCode1
Decker: Double Check with Heterogeneous Knowledge for Commonsense Fact VerificationCode1
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering—0
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All datasetsKILT: FEVERFEVERDanFEVER

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Re2GKILT-AC78.53—Unverified
2intersectKILT-AC71.28—Unverified
3WikipediaKILT-AC65.68—Unverified
4KGIKILT-AC64.41—Unverified
5Multitask DPR + BARTKILT-AC63.94—Unverified
6BERT + DPRKILT-AC58.58—Unverified
7RAGKILT-AC53.45—Unverified
8BART + DPRKILT-AC47.68—Unverified
9NSMNKILT-AC41.88—Unverified
10T5-baseKILT-AC0—Unverified
#ModelMetricClaimedVerifiedStatus
1ProoFVer-SBAccuracy79.47—Unverified
2DREAMAccuracy76.85—Unverified
3RoBERTa-Base Joint MSPP FlexibleAccuracy75.36—Unverified
4RoBERTa-Base Joint MSPPAccuracy74.39—Unverified
5KGATAccuracy74.1—Unverified
6RAGAccuracy72.5—Unverified
7GEARAccuracy71.6—Unverified
#ModelMetricClaimedVerifiedStatus
1DanFEVER XLM-RoBERTa LargeF10.9—Unverified