https://github.com/skgabriel/mrf-modeling
공식 코드Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines
Papers with Code 아카이브
Misinformation
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/smavali/aigi-break
공식 코드Fake It Until You Break It: On the Adversarial Robustness of AI-generated Image Detectors
https://github.com/smeznar/Epidemic-spreading-CN2020
공식 코드Transfer Learning for Node Regression Applied to Spreading Prediction
https://github.com/smileslab/comparative-analysis-voice-spoofing
공식 코드https://github.com/social-futures-lab/muse
공식 코드Correcting misinformation on social media with a large language model
https://github.com/socsys/graphnli
공식 코드GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates
https://github.com/sohampoddar26/hecsi-data
공식 코드ICPR 2024 Competition on Multilingual Claim-Span Identification
https://github.com/sprinter1999/fedelc
공식 코드Tackling Noisy Clients in Federated Learning with End-to-end Label Correction
https://github.com/ssu-humane/fake-news-thumbnail
공식 코드https://github.com/stevejpapad/figments-and-misalignments
공식 코드VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias
https://github.com/stevejpapad/image-text-verification
공식 코드VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias
https://github.com/stevejpapad/miscaptioned-image-reconstruction
공식 코드Latent Multimodal Reconstruction for Misinformation Detection
https://github.com/stevejpapad/outcontext-misinfo-progress
공식 코드https://github.com/stevejpapad/relevant-evidence-detection
공식 코드RED-DOT: Multimodal Fact-checking via Relevant Evidence Detection
https://github.com/supermaxman/covid19-vaccine-nlp
공식 코드https://github.com/sydney-machine-learning/sentimentanalysis-sinuphobiacovid19
공식 코드A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
https://github.com/taco-group/hfmf
공식 코드HFMF: Hierarchical Fusion Meets Multi-Stream Models for Deepfake Detection
https://github.com/tan-hexiang/retrieveorgenerated
공식 코드https://github.com/tararadvand74/llm-text-detection
공식 코드https://github.com/teacherpeterpan/contraqa
공식 코드Attacking Open-domain Question Answering by Injecting Misinformation
https://github.com/the-lost-explorer/iClaimNet
공식 코드A Data Set of Internet Claims and Comparison of their Sentiments with Credibility
https://github.com/themendu/TowardsSaferPretraining
공식 코드https://github.com/thepanacealab/covid19_twitter
공식 코드https://github.com/thu-bpm/chef
공식 코드CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking
https://github.com/tibhannover/mm-fakenews-detection
공식 코드https://github.com/tibhannover/mm_claims
공식 코드MM-Claims: A Dataset for Multimodal Claim Detection in Social Media
https://github.com/tingwei-zhang/soft-prompts-go-hard
공식 코드https://github.com/tobias-opsahl/fact-or-fiction
공식 코드https://github.com/tolusophy/Edge-of-Tomorrow
공식 코드On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
https://github.com/tomputer-g/idl_war
공식 코드https://github.com/tonyby/myth-qa
공식 코드https://github.com/tracyguo2001/chbench
공식 코드CHBench: A Chinese Dataset for Evaluating Health in Large Language Models
https://github.com/uclmr/fakenewschallenge
공식 코드A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/uiucnlp/newsclaims
공식 코드NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge
https://github.com/ukplab/5pils
공식 코드"Image, Tell me your story!" Predicting the original meta-context of visual misinformation
https://github.com/ukplab/arxiv2025-misleading-visualizations
공식 코드Protecting multimodal large language models against misleading visualizations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.