https://github.com/deep-symbolic-mathematics/Multimodal-Math-Pretraining
공식 코드SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
Papers with Code 아카이브
Mathematical Induction
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Tests the language model's capability to understand induction by asking the model to verify the correctness of an induction argument.
Source: BIG-bench
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/deep-symbolic-mathematics/Multimodal-Symbolic-Regression
공식 코드SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training
https://github.com/ensemble-art/Dynamic-Logistic-Ensembles
공식 코드https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/karpathy/llama2.c
https://github.com/nkluge-correa/teenytinyllama
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.