Papers with Code 아카이브
Fact Checking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 7
- 보존된 평가 기록
- 19
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cyberooo/manicod
공식 코드Detecting Manipulated Contents Using Knowledge-Grounded Inference
https://github.com/dannalily/trustscore
공식 코드TrustScore: Reference-Free Evaluation of LLM Response Trustworthiness
https://github.com/darsh10/split_encoder_pointer_summarizer
공식 코드https://github.com/data-science-kitchen/germ-eval-2021
공식 코드https://github.com/deno-v/heterfc
공식 코드Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables
https://github.com/devoallen/indust
공식 코드Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting
https://github.com/dfki-nlp/llmcheckup
공식 코드https://github.com/dice-group/hybridfc
공식 코드HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs
https://github.com/dmorrill10/hr_edl_experiments
공식 코드https://github.com/doldd/Paths-and-Ambient-Spaces
공식 코드https://github.com/drusso98/face-the-facts
공식 코드Face the Facts! Evaluating RAG-based Fact-checking Pipelines in Realistic Settings
https://github.com/ds-jrg/causal-qa-rl
공식 코드https://github.com/dscig/AIRights_PublicPerception
공식 코드https://github.com/dsgt-arc/checkthat-2025-numerical
공식 코드https://github.com/dwadden/longchecker
공식 코드MultiVerS: Improving scientific claim verification with weak supervision and full-document context
https://github.com/dwadden/multivers
공식 코드MultiVerS: Improving scientific claim verification with weak supervision and full-document context
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/eivindmoholdt/master-code
공식 코드Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method
https://github.com/ejohnson6767/mct_review
공식 코드https://github.com/epfl-ml4ed/answer-forecasting
공식 코드Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning
https://github.com/ernlavr/multihal
공식 코드MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
https://github.com/ethanleo-lyx/bidev
공식 코드BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking
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/facebookresearch/KILT
공식 코드https://github.com/facebookresearch/alebo
공식 코드Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization
https://github.com/facebookresearch/atlas
공식 코드Atlas: Few-shot Learning with Retrieval Augmented Language Models
https://github.com/facebookresearch/concurrentqa
공식 코드Reasoning over Public and Private Data in Retrieval-Based Systems
https://github.com/facebookresearch/contriever
공식 코드Unsupervised Dense Information Retrieval with Contrastive Learning
https://github.com/facebookresearch/ffcv-ssl
공식 코드Towards Democratizing Joint-Embedding Self-Supervised Learning
https://github.com/facebookresearch/side
공식 코드https://github.com/factiverse/QuanTemp
공식 코드QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
https://github.com/factiverse/questgen
공식 코드QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications
https://github.com/faviq/faviq
공식 코드https://github.com/firatcekinel/Multimodal-Fact-Checking-with-Vision-Language-Models
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.