SOTAVerified

Fact Checking

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 451–500 of 669 papers

TitleStatusHype
Learning Representations of Entities and Relations—0
UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking—0
CsFEVER and CTKFacts: Acquiring Czech data for fact verificationCode0
Artefact Retrieval: Overview of NLP Models with Knowledge Base Access—0
Combining Machine Learning with Knowledge Engineering to detect Fake News in Social Networks-a survey—0
Natural Language Deduction through Search over Statement Compositions—0
LongChecker: Improving scientific claim verification by modeling full-abstract context—0
Generating Scientific Claims for Zero-Shot Scientific Fact Checking—0
Toward Automatic Misinformation Detection Utilizing Fact-checked Information—0
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document—0
CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media—0
Re2G: Retrieve, Rerank, Generate—0
An Adversarial Benchmark for Fake News Detection ModelsCode0
PerCQA: Persian Community Question Answering Dataset—0
A Survey on Stance Detection for Mis- and Disinformation Identification—0
Logically at Factify 2022: Multimodal Fact Verification—0
Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing—0
Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification—0
VizExtract: Automatic Relation Extraction from Data Visualizations—0
Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources—0
TABi: Type-Aware Bi-encoders for End-to-End Entity Retrieval—0
Heterogeneous-Graph Reasoning and Fine-Grained Aggregation for Fact Checking—0
DialFact: A Benchmark for Fact-Checking in Dialogue—0
WikiContradiction: Detecting Self-Contradiction Articles on WikipediaCode0
Aggregating Pairwise Semantic Differences for Few-Shot Claim Veracity Classification—0
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking—0
FaBULOUS: Fact-checking Based on Understanding of Language Over Unstructured and Structured information—0
Neural Re-rankers for Evidence Retrieval in the FEVEROUS Task—0
A Fact Checking and Verification System for FEVEROUS Using a Zero-Shot Learning Approach—0
Automatic Fact-Checking with Document-level Annotations using BERT and Multiple Instance Learning—0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—0
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking—0
Explainable Fact-checking through Question Answering—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
Fake News Detection: Experiments and Approaches beyond Linguistic Features—0
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims—0
Findings of the NLP4IF-2021 Shared Tasks on Fighting the COVID-19 Infodemic and Censorship Detection—0
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News—0
Automated Fact-Checking: A Survey—0
Scalable Fact-checking with Human-in-the-LoopCode0
Modality and Negation in Event ExtractionCode0
The Case for Claim Difficulty Assessment in Automatic Fact Checking—0
UPV at CheckThat! 2021: Mitigating Cultural Differences for Identifying Multilingual Check-worthy ClaimsCode0
Tribrid: Stance Classification with Neural Inconsistency DetectionCode0
Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a DocumentCode0
FaxPlainAC: A Fact-Checking Tool Based on EXPLAINable Models with HumAn Correction in the Loop—0
Sequential Modelling with Applications to Music Recommendation, Fact-Checking, and Speed Reading—0
Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the OvenCode0
Monitoring Fact Preservation, Grammatical Consistency and Ethical Behavior of Abstractive Summarization Neural Models—0
Overview of the GermEval 2021 Shared Task on the Identification of Toxic, Engaging, and Fact-Claiming Comments—0
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All datasetsSciFact (BEIR)CLIMATE-FEVER (BEIR)FEVER (BEIR)AVeriTeC.CDCDLIAR2

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1monoT5-3BnDCG@100.78—Unverified
2SGPT-BE-5.8BnDCG@100.75—Unverified
3BM25+CEnDCG@100.69—Unverified
4SGPT-CE-6.1BnDCG@100.68—Unverified
5ColBERTnDCG@100.67—Unverified
#ModelMetricClaimedVerifiedStatus
1SGPT-BE-5.8BnDCG@100.31—Unverified
2monoT5-3BnDCG@100.28—Unverified
3BM25+CEnDCG@100.25—Unverified
4SGPT-CE-6.1BnDCG@100.16—Unverified
#ModelMetricClaimedVerifiedStatus
1monoT5-3BnDCG@100.85—Unverified
2BM25+CEnDCG@100.82—Unverified
3SGPT-BE-5.8BnDCG@100.78—Unverified
4SGPT-CE-6.1BnDCG@100.73—Unverified
#ModelMetricClaimedVerifiedStatus
1HerOQuestion Only score0.48—Unverified
2CTU AICQuestion Only score0.46—Unverified
3InFactQuestion Only score0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Abc0..5sec2—Unverified
#ModelMetricClaimedVerifiedStatus
1MA-CINPrecision0.26—Unverified
#ModelMetricClaimedVerifiedStatus
1FDHNAccuracy (Test)0.7—Unverified