Fact Checking
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ADMSCentre/factchecking-presentations
공식 코드Designing and Evaluating Presentation Strategies for Fact-Checked Content
https://github.com/AlexImmer/Laplace
공식 코드https://github.com/Algue-Rythme/Pay-attention-to-your-loss
공식 코드Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks
https://github.com/ArtemVazh/token_mahalanobis_distance
공식 코드https://github.com/Babelscape/LLM-Oasis
공식 코드Truth or Mirage? Towards End-to-End Factuality Evaluation with LLM-Oasis
https://github.com/BatoolHamawi/COVID-19WordEmbeddings
공식 코드Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter
https://github.com/CambridgeNLIP/verification-real-world-info-needs
공식 코드https://github.com/CogComp/perspectrum
공식 코드Seeing Things from a Different Angle: Discovering Diverse Perspectives about Claims
https://github.com/DAVID-NGUYEN-S16/SemViQA
공식 코드SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking
https://github.com/DanielLin97/FACT-AUDIT
공식 코드https://github.com/GauthierGidel/Variational-Inequality-GAN
공식 코드A Variational Inequality Perspective on Generative Adversarial Networks
https://github.com/Genaios/MultiSynFact
공식 코드Beyond Translation: LLM-Based Data Generation for Multilingual Fact-Checking
https://github.com/HolaYan/SUCEA
공식 코드https://github.com/IKMLab/CFEVER-baselines/tree/main/simple_baseline
공식 코드https://github.com/JabezNzomo99/claim-matching-robustness
공식 코드https://github.com/Jometeorie/KnowledgeSpread
공식 코드Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities
https://github.com/Libr-AI/OpenFactVerification
공식 코드https://github.com/Miaoranmmm/SelfChecker
공식 코드Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
https://github.com/Networks-Learning/curb
공식 코드Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation
https://github.com/Pesaran/High-dimensional-UK-Inflation-Forecast-April-4-2024
공식 코드High-dimensional forecasting with known knowns and known unknowns
https://github.com/RubaP/Ex-Claim
공식 코드Entity-aware Cross-lingual Claim Detection for Automated Fact-checking
https://github.com/SarahAlqurashi/COVID19-Misinformation-dataset-
공식 코드Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter
https://github.com/TIBHannover/cross-modal_entity_consistency
공식 코드QuTI! Quantifying Text-Image Consistency in Multimodal Documents
https://github.com/TalSchuster/TokenMasker
공식 코드https://github.com/TalSchuster/VitaminC
공식 코드Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence
https://github.com/Tariq60/arastance
공식 코드AraStance: A Multi-Country and Multi-Domain Dataset of Arabic Stance Detection for Fact Checking
https://github.com/Tswings/AVeriTeC-DCE
공식 코드Document-level Claim Extraction and Decontextualisation for Fact-Checking
https://github.com/UKPLab/acl2024-missci
공식 코드https://github.com/UKPLab/arxiv2024-missciplus
공식 코드Grounding Fallacies Misrepresenting Scientific Publications in Evidence
https://github.com/UKPLab/beir
공식 코드BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
https://github.com/UKPLab/conll2019-snopes-crawling
공식 코드A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
https://github.com/UKPLab/conll2019-snopes-experiments
공식 코드A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
https://github.com/UKPLab/tacl2025-ood-eval-self-rationalization
공식 코드Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
https://github.com/VT-NLP/Mocheg
공식 코드End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
https://github.com/Zarharan/NLE-for-fact-checking
공식 코드Tell Me Why: Explainable Public Health Fact-Checking with Large Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.