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 101–150 of 216 papers

TitleStatusHype
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
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
Are Large Language Models Good Fact Checkers: A Preliminary Study—0
An Empirical Study of Using ChatGPT for Fact Verification Task—0
XFEVER: Exploring Fact Verification across LanguagesCode0
EXPLAIN, EDIT, GENERATE: Rationale-Sensitive Counterfactual Data Augmentation for Multi-hop Fact VerificationCode0
Language Models Hallucinate, but May Excel at Fact VerificationCode0
QA-NatVer: Question Answering for Natural Logic-based Fact VerificationCode0
From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationCode0
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and ContextCode0
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
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy—0
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
Growing and Serving Large Open-domain Knowledge Graphs—0
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification—0
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering—0
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceCode0
BEVERS: A General, Simple, and Performant Framework for Automatic Fact Verification—0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution SimilaritiesCode0
Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture—0
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification—0
Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning—0
Converge to the Truth: Factual Error Correction via Iterative Constrained EditingCode0
Data-Efficient Autoregressive Document Retrieval for Fact Verification—0
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models—0
Learning to Navigate Wikipedia by Taking Random Walks—0
Table-based Fact Verification with Self-labeled Keypoint Alignment—0
SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification—0
GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification—0
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification SystemsCode0
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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
10ElefPavKILT-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