https://github.com/facebookresearch/clutrr
Measuring Systematic Generalization in Neural Proof Generation with Transformers
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Measuring Systematic Generalization in Neural Proof Generation with Transformers
Holophrasm: a neural Automated Theorem Prover for higher-order logic
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods
Holophrasm: a neural Automated Theorem Prover for higher-order logic
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
A Unified Parallel Algorithm for Regularized Group PLS Scalable to Big Data
BreastScreening: On the Use of Multi-Modality in Medical Imaging Diagnosis
Automated proof synthesis for propositional logic with deep neural networks
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
HOList: An Environment for Machine Learning of Higher-Order Theorem Proving
HolStep: A Machine Learning Dataset for Higher-order Logic Theorem Proving
MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.