https://github.com/shibu4064/indonlp
공식 코드From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs
Papers with Code 아카이브
Fact Checking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shiralkarprashant/knowledgestream
공식 코드Finding Streams in Knowledge Graphs to Support Fact Checking
https://github.com/skgabriel/mrf-modeling
공식 코드Misinfo Reaction Frames: Reasoning about Readers' Reactions to News Headlines
https://github.com/social-futures-lab/muse
공식 코드Correcting misinformation on social media with a large language model
https://github.com/sonlam1102/zefav
공식 코드ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification
https://github.com/soonwook34/crkt
공식 코드Enhancing Knowledge Tracing with Concept Map and Response Disentanglement
https://github.com/sshaar/That-is-a-Known-Lie
공식 코드That is a Known Lie: Detecting Previously Fact-Checked Claims
https://github.com/ssu-humane/hero
공식 코드HerO at AVeriTeC: The Herd of Open Large Language Models for Verifying Real-World Claims
https://github.com/stanford-futuredata/lotus
공식 코드Semantic Operators: A Declarative Model for Rich, AI-based Data Processing
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/surya1701/factify-2.0
공식 코드https://github.com/sushantgautam/factgenius
공식 코드https://github.com/suzgunmirac/belief-in-the-machine
공식 코드Belief in the Machine: Investigating Epistemological Blind Spots of Language Models
https://github.com/sylinrl/truthfulqa
공식 코드https://github.com/t-tagami/Suspicious-News-Detection
공식 코드https://github.com/tahmedge/chart_lvlm_judge
공식 코드https://github.com/tail-unica/ai-literacy-primary-ed
공식 코드A Structured Unplugged Approach for Foundational AI Literacy in Primary Education
https://github.com/talreiss/factor
공식 코드https://github.com/tanny411/gpt3-reliability-check
공식 코드Reliability Check: An Analysis of GPT-3's Response to Sensitive Topics and Prompt Wording
https://github.com/the-lost-explorer/iClaimNet
공식 코드A Data Set of Internet Claims and Comparison of their Sentiments with Credibility
https://github.com/theonlyandreas/end-to-end-crowdsourcing
공식 코드End-to-End Annotator Bias Approximation on Crowdsourced Single-Label Sentiment Analysis
https://github.com/thephukan/ecis-vqg
공식 코드ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
https://github.com/thu-bpm/chef
공식 코드CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking
https://github.com/thunlp-mt/directquote
공식 코드DirectQuote: A Dataset for Direct Quotation Extraction and Attribution in News Articles
https://github.com/tingchihc/metasumperceiver
공식 코드MetaSumPerceiver: Multimodal Multi-Document Evidence Summarization for Fact-Checking
https://github.com/tonyby/myth-qa
공식 코드https://github.com/tsvm/factcheck-cqa
공식 코드SemEval-2019 Task 8: Fact Checking in Community Question Answering Forums
https://github.com/uclmr/fakenewschallenge
공식 코드A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
https://github.com/uds-lsv/bert-stable-fine-tuning
공식 코드On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
https://github.com/ufal/ambiguity-grammaticality-complexity
공식 코드https://github.com/ukplab/5pils
공식 코드"Image, Tell me your story!" Predicting the original meta-context of visual misinformation
https://github.com/ukplab/emnlp2022-missing-counter-evidence
공식 코드Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
https://github.com/ukplab/naacl2025-cove
공식 코드COVE: COntext and VEracity prediction for out-of-context images
https://github.com/umass-ml4ed/dialogue-kt
공식 코드Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMs
https://github.com/umass-ml4ed/divert
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.