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Claim Verification

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Showing 51–100 of 134 papers

TitleStatusHype
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine ConflictCode0
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors—0
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering—0
CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail KnowledgeCode1
Can Large Language Models Detect Misinformation in Scientific News Reporting?—0
Assessing the Reasoning Abilities of ChatGPT in the Context of Claim Verification—0
Comparing Knowledge Sources for Open-Domain Scientific Claim Verification—0
What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification—0
MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim VerificationCode0
Ta'keed: The First Generative Fact-Checking System for Arabic Claims—0
EX-FEVER: A Dataset for Multi-hop Explainable Fact VerificationCode1
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language ModelsCode1
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting MethodCode1
HealthFC: Verifying Health Claims with Evidence-Based Medical Fact-CheckingCode1
Give Me More Details: Improving Fact-Checking with Latent Retrieval—0
AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the WebCode1
SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific TablesCode1
Complex Claim Verification with Evidence Retrieved in the WildCode1
Read it Twice: Towards Faithfully Interpretable Fact Verification by Revisiting EvidenceCode0
Factify 2: A Multimodal Fake News and Satire News DatasetCode1
Low-Shot Learning for Fictional Claim VerificationCode0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
Implicit Temporal Reasoning for Evidence-Based Fact-CheckingCode0
ExClaim: Explainable Neural Claim Verification Using RationalizationCode0
ProVe: A Pipeline for Automated Provenance Verification of Knowledge Graphs against Textual Sources—0
SciFact-Open: Towards open-domain scientific claim verificationCode1
MMFlood: A Multimodal Dataset for Flood Delineation From Satellite ImageryCode1
Active PETs: Active Data Annotation Prioritisation for Few-Shot Claim Verification with Pattern Exploiting Training—0
End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and ModelsCode1
Document Retrieval and Claim Verification to Mitigate COVID-19 Misinformation—0
A Semantics-Aware Approach to Automated Claim Verification—0
GERE: Generative Evidence Retrieval for Fact VerificationCode1
Calibration of Machine Reading Systems at Scale—0
RerrFact: Reduced Evidence Retrieval Representations for Scientific Claim VerificationCode0
LongChecker: Improving scientific claim verification by modeling full-abstract context—0
MultiVerS: Improving scientific claim verification with weak supervision and full-document contextCode1
Calibration of Machine Reading Systems at Scale—0
DialFact: A Benchmark for Fact-Checking in Dialogue—0
WikiContradiction: Detecting Self-Contradiction Articles on WikipediaCode0
Evidence Selection as a Token-Level Prediction TaskCode1
DialFact: A Benchmark for Fact-Checking in DialogueCode1
Mention Memory: incorporating textual knowledge into Transformers through entity mention attentionCode0
Overview of the CLEF-2019 CheckThat!: Automatic Identification and Verification of Claims—0
Abstract, Rationale, Stance: A Joint Model for Scientific Claim VerificationCode0
Graph-based Retrieval for Claim Verification over Cross-Document Evidence—0
Improving Evidence Retrieval with Claim-Evidence Entailment—0
NoFake at CheckThat! 2021: Fake News Detection Using BERT—0
A DQN-based Approach to Finding Precise Evidences for Fact VerificationCode0
Overview and Insights from the SciVer Shared Task on Scientific Claim Verification—0
Semantic Representation and Inference for NLP—0
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