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 151–200 of 216 papers

TitleStatusHype
Poly-FEVER: A Multilingual Fact Verification Benchmark for Hallucination Detection in Large Language Models—0
Distilling the Evidence to Augment Fact Verification Models—0
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification—0
Automatic True/False Question Generation for Educational Purpose—0
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability—0
An Empirical Study of Using ChatGPT for Fact Verification Task—0
QED: A fact verification system for the FEVER shared task—0
Dataset of Fake News Detection and Fact Verification: A Survey—0
Data-Efficient Autoregressive Document Retrieval for Fact Verification—0
AMREx: AMR for Explainable Fact Verification—0
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning—0
Reasoning Over Semantic-Level Graph for Fact Checking—0
Data and Model Distillation as a Solution for Domain-transferable Fact Verification—0
ConTFV: A Contrastive Learning Framework for Table-based Fact Verification—0
xLP: Explainable Link Prediction for Master Data Management—0
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments—0
Constrained Fact Verification for FEVER—0
Consistent Multi-Granular Rationale Extraction for Explainable Multi-hop Fact Verification—0
Scalable and Domain-General Abstractive Proposition Segmentation—0
Scalable Knowledge Graph Construction from Text Collections—0
Connecting the Dots Between Fact Verification and Fake News Detection—0
SemEval-2021 Task 9: Fact Verification and Evidence Finding for Tabular Data in Scientific Documents (SEM-TAB-FACTS)—0
CMQCIC-Bench: A Chinese Benchmark for Evaluating Large Language Models in Medical Quality Control Indicator Calculation—0
Augmenting the Veracity and Explanations of Complex Fact Checking via Iterative Self-Revision with LLMs—0
SISER: Semantic-Infused Selective Graph Reasoning for Fact Verification—0
AttentiveChecker: A Bi-Directional Attention Flow Mechanism for Fact Verification—0
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
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
Are Large Language Models Good Fact Checkers: A Preliminary Study—0
FactLens: Benchmarking Fine-Grained Fact Verification—0
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering—0
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering—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
Students Who Study Together Learn Better: On the Importance of Collective Knowledge Distillation for Domain Transfer in Fact Verification—0
An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models—0
Claim Verification in the Age of Large Language Models: A Survey—0
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking—0
Extract and Aggregate: A Novel Domain-Independent Approach to Factual Data Verification—0
Synthetic News Generation for Fake News Classification—0
How Robust are Fact Checking Systems on Colloquial Claims?—0
Exploring Listwise Evidence Reasoning with T5 for Fact Verification—0
Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language Models—0
Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion—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