https://github.com/disl-lab/finesumfact
공식 코드Learning to Verify Summary Facts with Fine-Grained LLM Feedback
Papers with Code 아카이브
Fact Verification
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Fact verification, also called "fact checking", is a process of verifying facts in natural text against a database of facts.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/dsgt-arc/checkthat-2025-numerical
공식 코드https://github.com/easonnie/combine-FEVER-NSMN
공식 코드Combining Fact Extraction and Verification with Neural Semantic Matching Networks
https://github.com/easonnie/semanticRetrievalMRS
공식 코드Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
https://github.com/facebookresearch/KILT
공식 코드https://github.com/faviq/faviq
공식 코드https://github.com/fuxiaoliu/twitter-video-dataset
공식 코드COVID-VTS: Fact Extraction and Verification on Short Video Platforms
https://github.com/heaven-zhw/llm-on-tabfact
공식 코드https://github.com/ibm/kgi-slot-filling
공식 코드https://github.com/ict-bigdatalab/fer
공식 코드From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
https://github.com/j6mes/2021-acl-factual-error-correction
공식 코드https://github.com/j6mes/eacl2021-debias-finetuning
공식 코드https://github.com/jacklxc/ParagraphJointModel
공식 코드A Paragraph-level Multi-task Learning Model for Scientific Fact-Verification
https://github.com/jadecurl/hiss
공식 코드Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method
https://github.com/jasenchn/TARSA
공식 코드Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
https://github.com/jasenchn/checkwhy
공식 코드https://github.com/jiangjiechen/loren
공식 코드LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification
https://github.com/jiangjiechen/vence
공식 코드Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
https://github.com/jianguanthu/llmforfv
공식 코드Language Models Hallucinate, but May Excel at Fact Verification
https://github.com/jiho283/FactKG
공식 코드https://github.com/jiho283/kg-gpt
공식 코드KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models
https://github.com/jingyng/label-adaptive-self-rationalization
공식 코드Take It Easy: Label-Adaptive Self-Rationalization for Fact Verification and Explanation Generation
https://github.com/jmilbauer/newssense
공식 코드From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and Context
https://github.com/just1nseo/verifying-the-verifiers
공식 코드Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
https://github.com/jvladika/StepByStepFV
공식 코드Step-by-Step Fact Verification System for Medical Claims with Explainable Reasoning
https://github.com/kaistai/claimdiff
공식 코드ClaimDiff: Comparing and Contrasting Claims on Contentious Issues
https://github.com/kevin-rn/Efficient-Fact-checking
공식 코드FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking
https://github.com/krishnamrith12/proofver
공식 코드ProoFVer: Natural Logic Theorem Proving for Fact Verification
https://github.com/leezythu/uctr
공식 코드Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework
https://github.com/leezythu/uctr-st
공식 코드Optimization Techniques for Unsupervised Complex Table Reasoning via Self-Training Framework
https://github.com/lovodkin93/attribute-first-then-generate
공식 코드Attribute First, then Generate: Locally-attributable Grounded Text Generation
https://github.com/lucadiliello/transformers-framework
공식 코드https://github.com/luka-group/salience-aware-learning
공식 코드https://github.com/marekstrong/Zero-NatVer
공식 코드Zero-Shot Fact Verification via Natural Logic and Large Language Models
https://github.com/minwhoo/crossaug
공식 코드CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
https://github.com/mubasharaak/chartcheck
공식 코드ChartCheck: Explainable Fact-Checking over Real-World Chart Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.