Papers with Code 아카이브
Fact Verification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/infiagent/infiagent
https://github.com/j6mes/acl2021-factual-error-correction
https://github.com/jacklu333333/cs470Final
https://github.com/kaistai/semiparametric_token-sequence_co-supervision
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
https://github.com/kylrth/procedure-generation
https://github.com/liyuan24/nanodeepresearch
https://github.com/llm-lab-org/CLASP
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
https://github.com/lyqcom/mindspore_nlp_tutorial
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/mindspore-courses/d2l-mindspore/tree/master/chapter_15_natural_language_processing_applications
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/open-dataflow/rare
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
https://github.com/phbst/tinyrag
Learning to Filter Context for Retrieval-Augmented Generation
https://github.com/robotics-4-all/ISSEL-Announcements
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/ruc-nlpir/flashrag
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy
https://github.com/sierra-research/tau-bench
https://github.com/sleepthroughdifficulties/kernelwhitening
https://github.com/snexus/llm-search
https://github.com/thestephencasper/common_claim
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge
https://github.com/thu-keg/korc
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/thudm/agenttuning
https://github.com/vectara/hallucination-leaderboard
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
https://github.com/vortezwohl/Autono
https://github.com/yangyucheng000/University/tree/main/model-3/rag
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
https://github.com/yenchehsiao/autonomousllmagentwithadaptingplanning
https://github.com/zouharvi/kb-shrink
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.