https://github.com/aic-factcheck/aic_averitec
공식 코드AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG task
Papers with Code 아카이브
Fact Checking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/aic-factcheck/csfever-and-ctkfacts-paper
공식 코드CsFEVER and CTKFacts: Acquiring Czech data for fact verification
https://github.com/aic-factcheck/multilingual-fact-checking
공식 코드Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
https://github.com/albasu120491/climateviz
공식 코드ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts
https://github.com/allenai/HyBayes
공식 코드Not All Claims are Created Equal: Choosing the Right Statistical Approach to Assess Hypotheses
https://github.com/allenai/scientific-claim-generation
공식 코드Generating Scientific Claims for Zero-Shot Scientific Fact Checking
https://github.com/allenai/scifact
공식 코드https://github.com/altuncu/aedfact
공식 코드https://github.com/altuncu/factors
공식 코드FACTors: A New Dataset for Studying the Fact-checking Ecosystem
https://github.com/amayuelas/knowledge-of-knowledge
공식 코드Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models
https://github.com/anisha2102/molecular_facts
공식 코드Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification
https://github.com/anthonywchen/AmbER-Sets
공식 코드Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
https://github.com/anupshakya07/attn-scaling
공식 코드Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data
https://github.com/architapathak/Self-Supervised-ClaimIdentification
공식 코드Self-Supervised Claim Identification for Automated Fact Checking
https://github.com/atulkum/pointer_summarizer
공식 코드https://github.com/autonomousvision/nuplan_garage
공식 코드Parting with Misconceptions about Learning-based Vehicle Motion Planning
https://github.com/autonomousvision/tuplan_garage
공식 코드Parting with Misconceptions about Learning-based Vehicle Motion Planning
https://github.com/befittingcrown/ekohate
공식 코드https://github.com/bgGLUE/bgglue
공식 코드bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark
https://github.com/bgglue/bgglue.github.io
공식 코드bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark
https://github.com/blueghostyi/id-grec
공식 코드Unveiling Contrastive Learning's Capability of Neighborhood Aggregation for Collaborative Filtering
https://github.com/captaine/searching-for-structure-in-unfalsifiable-claims
공식 코드https://github.com/cartus/automated-fact-checking-resources
공식 코드https://github.com/casperhansen/fake-news-reasoning
공식 코드Automatic Fake News Detection: Are Models Learning to Reason?
https://github.com/cezhang01/correct
공식 코드CORRECT: Context- and Reference-Augmented Reasoning and Prompting for Fact-Checking
https://github.com/chenmientan/malmen
공식 코드https://github.com/chridey/fever2-columbia
공식 코드DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
https://github.com/claws-lab/misinfocorrect
공식 코드https://github.com/cleopatra-itn/claim_detection
공식 코드https://github.com/climatebert/language-model
공식 코드ClimateBert: A Pretrained Language Model for Climate-Related Text
https://github.com/codogogo/xling-eval
공식 코드https://github.com/complexdata-mila/webretrieval
공식 코드Web Retrieval Agents for Evidence-Based Misinformation Detection
https://github.com/computationalmedialab/poxverifi
공식 코드PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation
https://github.com/copenlu/fever-adversarial-attacks
공식 코드Generating Label Cohesive and Well-Formed Adversarial Claims
https://github.com/copenlu/politihop
공식 코드https://github.com/copenlu/spanex
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.