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Misinformation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/firatcekinel/fctr
공식 코드Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish
https://github.com/firatcekinel/multi-task-fact-checking
공식 코드Explaining Veracity Predictions with Evidence Summarization: A Multi-Task Model Approach
https://github.com/firojalam/COVID-19-tweets-for-check-worthiness
공식 코드Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms
https://github.com/firojalam/detecting-previously-fact-checked-claims
공식 코드The Role of Context in Detecting Previously Fact-Checked Claims
https://github.com/flair-iisc/watermark_tradeoffs
공식 코드https://github.com/francesco-sovrano/ruleshap
공식 코드Can Global XAI Methods Reveal Injected Bias in LLMs? SHAP vs Rule Extraction vs RuleSHAP
https://github.com/fuxiag/information-diffusion-datasets
공식 코드https://github.com/g-luo/news_clippings
공식 코드NewsCLIPpings: Automatic Generation of Out-of-Context Multimodal Media
https://github.com/gabll/some-like-it-hoax
공식 코드Some Like it Hoax: Automated Fake News Detection in Social Networks
https://github.com/gair-nlp/behonest
공식 코드https://github.com/gatenlp/h3prompt
공식 코드https://github.com/gilikn/fakeout
공식 코드FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection
https://github.com/giscardbiamby/twitter-comms
공식 코드Twitter-COMMs: Detecting Climate, COVID, and Military Multimodal Misinformation
https://github.com/giskard-ai/realharm
공식 코드RealHarm: A Collection of Real-World Language Model Application Failures
https://github.com/gpucce/control_mgt
공식 코드https://github.com/gtfintechlab/subjective-qa
공식 코드https://github.com/gtziafas/nlp4ifchallenge
공식 코드Fighting the COVID-19 Infodemic with a Holistic BERT Ensemble
https://github.com/hannight/ramdocs
공식 코드https://github.com/hanshanley/machine-made-media
공식 코드https://github.com/hanshanley/specious-sites
공식 코드Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale
https://github.com/harryw1248/covid_19_misinformation_weakly_supervised_bwgs
공식 코드A Weakly-Supervised Iterative Graph-Based Approach to Retrieve COVID-19 Misinformation Topics
https://github.com/hitz-zentroa/cn-eval
공식 코드A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
https://github.com/hitz-zentroa/critical_questions_generation
공식 코드https://github.com/hiyouga/llama-factory
공식 코드FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
https://github.com/hkbunlp/wsdms-emnlp2023
공식 코드https://github.com/hkust-knowcomp/knowledge-constrained-decoding
공식 코드KCTS: Knowledge-Constrained Tree Search Decoding with Token-Level Hallucination Detection
https://github.com/hlr/misinformation-detection
공식 코드Using Persuasive Writing Strategies to Explain and Detect Health Misinformation
https://github.com/hockeybro12/fake_news_interactive_detection
공식 코드Interactively Learning Social Media Representations Improves News Source Factuality Detection
https://github.com/horizontel/aigibench
공식 코드Is Artificial Intelligence Generated Image Detection a Solved Problem?
https://github.com/hyeonjeongha/mm-poisonrag
공식 코드MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
https://github.com/iai-group/sigirap2024-resgen
공식 코드https://github.com/iamtonymwt/echo_chamber
공식 코드https://github.com/ictmcg/awesome-misinfo-video-detection
공식 코드Combating Online Misinformation Videos: Characterization, Detection, and Future Directions
https://github.com/ictmcg/fakesv
공식 코드Combating Online Misinformation Videos: Characterization, Detection, and Future Directions
https://github.com/ictmcg/news-environment-perception
공식 코드Zoom Out and Observe: News Environment Perception for Fake News Detection
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