https://github.com/kulinshah98/llm-reasoning-logic-puzzles
공식 코드Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles
Papers with Code 아카이브
Logical Sequence
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nhchristianson/Math-text-semantic-networks
공식 코드Architecture and evolution of semantic networks in mathematics texts
https://github.com/ravindu-yasas-nagasinghe/kepp
공식 코드Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
https://github.com/Chumsy0725/DGWM
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
https://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/c0notsilly/advfrequency
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
https://github.com/chumsy0725/fbc-sa
Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos
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.