https://github.com/complexdata-mila/webretrieval
공식 코드Web Retrieval Agents for Evidence-Based Misinformation Detection
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/computationalmedialab/poxverifi
공식 코드PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation
https://github.com/computationalprivacy/document-level-membership-inference
공식 코드Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models
https://github.com/corradomonti/ideological-embeddings
공식 코드https://github.com/crisiscomputing/tbcov
공식 코드TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels
https://github.com/cuilimeng/CoAID
공식 코드https://github.com/cyang03/CHECKED
공식 코드https://github.com/czjdsg/lmbot
공식 코드https://github.com/dadangewp/SemEval2017-RumourEval
공식 코드https://github.com/dahlia-chehata/rumoureval-with-vllms
공식 코드https://github.com/dakezhang1998/readprobe
공식 코드ReadProbe: A Demo of Retrieval-Enhanced Large Language Models to Support Lateral Reading
https://github.com/daniel-toma-toma/msprtGNN
공식 코드https://github.com/danieltorren/misinformation_financial_markets
공식 코드https://github.com/dasec/multi-channel-cross-modal-detection-of-synthetic-face-images
공식 코드Multi-Channel Cross Modal Detection of Synthetic Face Images
https://github.com/delyan-boychev/imaginet
공식 코드ImagiNet: A Multi-Content Benchmark for Synthetic Image Detection
https://github.com/devank3/CoVLM
공식 코드https://github.com/dineshsrivasthav/adaptive_meta_learning_with_multi_agent_framework
공식 코드https://github.com/dogregor/pretrain_gnns_fakenewsnet
공식 코드https://github.com/douglasraevan/covid19-indonesian-misinformation-tweets
공식 코드Two-Stage Classifier for COVID-19 Misinformation Detection Using BERT: a Study on Indonesian Tweets
https://github.com/douglasraevan/covid19-indonesian-tweets
공식 코드Two-Stage Classifier for COVID-19 Misinformation Detection Using BERT: a Study on Indonesian Tweets
https://github.com/easonnie/combine-FEVER-NSMN
공식 코드Combining Fact Extraction and Verification with Neural Semantic Matching Networks
https://github.com/edisonni-hku/afacta
공식 코드AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
https://github.com/ehsanulhaq1/russo_ukraine_dataset
공식 코드https://github.com/eivindmoholdt/master-code
공식 코드Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method
https://github.com/enderfga/doublecheck
공식 코드https://github.com/esteng/persuasion_balanced_training
공식 코드Teaching Models to Balance Resisting and Accepting Persuasion
https://github.com/ethanm88/hitl-evaluation-early-misinformation-detection
공식 코드Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments
https://github.com/ethz-spylab/rlhf_trojan_competition
공식 코드Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs
https://github.com/everythingguy/covidmis20
공식 코드CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models
https://github.com/expertailab/capturing-pertinent-symbolic-features-for-enhanced-content-based-misinformation-detection
공식 코드Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation Detection
https://github.com/facebookresearch/isc2021
공식 코드https://github.com/factiverse/QuanTemp
공식 코드QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
https://github.com/fan19-hub/LEMMA
공식 코드https://github.com/fatimaezzedinee/characterizing-and-detecting-state-sponsored-troll-activity-on-social-media
공식 코드https://github.com/fatimaezzedinee/exposing-influence-campaigns-in-the-age-of-llms-a-behavioral-based-ai-approach
공식 코드https://github.com/fatimaezzedinee/how-troll-are-you-measuring-and-detecting-troll-behavior-in-online-social-networks
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.