https://github.com/umass-ml4ed/feedback-gen-dpo
공식 코드Improving the Validity of Automatically Generated Feedback via Reinforcement Learning
Papers with Code 아카이브
Fact Checking
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/umass-ml4ed/prompt_distractor_generation_naacl
공식 코드https://github.com/usc-melady/constructing-misinformation-datasets-www-2022
공식 코드https://github.com/varadhbhatnagar/fc-claim-det
공식 코드Harnessing Abstractive Summarization for Fact-Checked Claim Detection
https://github.com/vis-nlp/chartgemma
공식 코드ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
https://github.com/wenhuchen/Table-Fact-Checking
공식 코드TabFact: A Large-scale Dataset for Table-based Fact Verification
https://github.com/wenjiazh/newsquote
공식 코드https://github.com/wiki-contradictory/wiki-self-contradictory
공식 코드WikiContradiction: Detecting Self-Contradiction Articles on Wikipedia
https://github.com/windowh1/graphcheck
공식 코드GraphCheck: Multi-Path Fact-Checking with Entity-Relationship Graphs
https://github.com/wkddydpf/continual-knowledge-learning
공식 코드https://github.com/wskbest/mfc-bench
공식 코드MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
https://github.com/xingchenwan/MLRG_DeepCurvature
공식 코드https://github.com/xinyuanlu00/qacheck
공식 코드QACHECK: A Demonstration System for Question-Guided Multi-Hop Fact-Checking
https://github.com/xinyuanlu00/scitab
공식 코드https://github.com/xsc1234/search-in-the-chain
공식 코드https://github.com/yasumasaonoe/creak
공식 코드CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge
https://github.com/yibing-du/adversarial-factcheck
공식 코드Synthetic Disinformation Attacks on Automated Fact Verification Systems
https://github.com/yifding/in_context_el
공식 코드EntGPT: Linking Generative Large Language Models with Knowledge Bases
https://github.com/yilihsu/asktoknowmore
공식 코드Ask to Know More: Generating Counterfactual Explanations for Fake Claims
https://github.com/yingtongdou/crossfake
공식 코드https://github.com/yoonholee/clarify
공식 코드Clarify: Improving Model Robustness With Natural Language Corrections
https://github.com/yuhui-zh15/FactCCX
공식 코드Evaluating the Factual Consistency of Abstractive Text Summarization
https://github.com/yuxiaw/factcheck-gpt
공식 코드Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
https://github.com/yuxiaw/openfactcheck
공식 코드https://github.com/zeng-yirong/ru22fact
공식 코드RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict
https://github.com/zjukg/snag
공식 코드Noise-powered Multi-modal Knowledge Graph Representation Framework
https://github.com/znhy1024/heard
공식 코드Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset
https://github.com/znhy1024/justilm
공식 코드JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
https://github.com/zoeyyes/confact
공식 코드Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
https://github.com/zzyuuuu/lightccf
공식 코드Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
https://gitlab.com/didizlatkova/fake-image-detection
공식 코드Fact-Checking Meets Fauxtography: Verifying Claims About Images
https://gitlab.com/lianeg/montee
공식 코드https://zenodo.org/record/7916716
공식 코드Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text
https://github.com/AIRLegend/fakenews
TI-CNN: Convolutional Neural Networks for Fake News Detection
https://github.com/BinWang28/BERT_Sentence_Embedding
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
https://github.com/BinWang28/SBERT-WK-Sentence-Embedding
Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.