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
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation—0
Findings of Factify 2: Multimodal Fake News Detection—0
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition—0
FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking—0
GLAF: Global-to-Local Aggregation and Fission Network for Semantic Level Fact Verification—0
Global Responses to the COVID-19 Pandemic: A Case Study of Spatiotemporal Evidence Finding and Verification—0
GPTs at Factify 2022: Prompt Aided Fact-Verification—0
Graph Sequential Network for Reasoning over Sequences—0
Growing and Serving Large Open-domain Knowledge Graphs—0
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models—0
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification—0
How Robust are Fact Checking Systems on Colloquial Claims?—0
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models—0
Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion—0
Improving Retrieval Augmented Language Model with Self-Reasoning—0
Improving the fact-checking performance of language models by relying on their entailment ability—0
Investigating Zero- and Few-shot Generalization in Fact Verification—0
Fine-grained Fact Verification with Kernel Graph Attention Network—0
Large Language Model for Table Processing: A Survey—0
Learning to Navigate Wikipedia by Taking Random Walks—0
Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification—0
Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture—0
Logically at Factify 2022: Multimodal Fact Verification—0
LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification—0
Mining the Explainability and Generalization: Fact Verification Based on Self-Instruction—0
Modeling Entity Knowledge for Fact Verification—0
Multimodal Misinformation Detection using Large Vision-Language Models—0
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification—0
Overview of Factify5WQA: Fact Verification through 5W Question-Answering—0
Paragraph-based Transformer Pretraining for Multi-Sentence Inference—0
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models—0
Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models—0
QED: A fact verification system for the FEVER shared task—0
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning—0
On the Importance of Delexicalization for Fact Verification—0
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments—0
Scalable and Domain-General Abstractive Proposition Segmentation—0
Scalable Knowledge Graph Construction from Text Collections—0
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS)—0
SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification—0
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization—0
Structural Encoding and Pre-training Matter: Adapting BERT for Table-Based Fact Verification—0
Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification—0
Synthetic News Generation for Fake News Classification—0
Table-based Fact Verification with Self-adaptive Mixture of Experts—0
Table-based Fact Verification with Self-labeled Keypoint Alignment—0
Table Fact Verification with Structure-Aware Transformer—0
Uncertainty Calibration for Ensemble-Based Debiasing Methods—0
Validation of Facts Against Textual Sources—0
Verdict Inference with Claim and Retrieved Elements Using RoBERTa—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
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