https://github.com/acmmmsys/2021-grandchallenge-cheapfakes
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
Papers with Code 아카이브
Misinformation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/adobe/trustmark
TrustMark: Universal Watermarking for Arbitrary Resolution Images
https://github.com/akash1014/IBM_Hack_2020
COVID-19 on Social Media: Analyzing Misinformation in Twitter Conversations
https://github.com/anguyen120/fake-news-in-time
Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
https://github.com/ankitp544/stance_detection
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/atulkumarin/DeClare
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
https://github.com/ayush714/Covid-19-Fake-News-Detection-System-
Transformer based Automatic COVID-19 Fake News Detection System
https://github.com/cair/PyTsetlinMachineCUDA
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/TsetlinMachine
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachine
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachineMT
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/cair/pyTsetlinMachineParallel
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/ceichler/MIA-bias-removal
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models
https://github.com/chimera-detector/Extension
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/chimera-detector/Server
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/chimera-detector/experienceExtension
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/ckinateder/pytsetlinmachineparallel
Explainable Tsetlin Machine framework for fake news detection with credibility score assessment
https://github.com/code-implementation1/Code9/tree/main/gat
https://github.com/dcaled/mind
https://github.com/dcaled/mint
https://github.com/detecting-cheapfakes/detecting-cheapfakes-code
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
https://github.com/faviq/faviq
https://github.com/freedomintelligence/chatgpt-detection-pr-hppt
Is ChatGPT Involved in Texts? Measure the Polish Ratio to Detect ChatGPT-Generated Text
https://github.com/gabrielsaruhashi/anti-fake
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/hanshanley/tata
https://github.com/harshita97/hoaxbait
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/hitz-zentroa/eval-MCG-COLING-2025
A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
https://github.com/hzlsaber/sida
https://github.com/iit-nlp-research/chatgpt-crawler
https://github.com/j6mes/acl2021-factual-error-correction
https://github.com/kenjiqq/aesthetics-scorer
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
https://github.com/llm-editing/editing-attack
https://github.com/loris3/evaluation_explanation_quality
Smaller Language Models are Better Black-box Machine-Generated Text Detectors
https://github.com/melissafeeney/columbia_datascience_hackathon2021
https://github.com/pengzhou1108/GSRNet
Generate, Segment and Refine: Towards Generic Manipulation Segmentation
https://github.com/pmallari/AmazonSentimentAnalysis
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.