https://github.com/ddemszky/classroom-transcript-analysis
공식 코드The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts
Papers with Code 아카이브
Elementary Mathematics
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/hendrycks/test
공식 코드https://github.com/snfrieder/ghosts
공식 코드https://github.com/xyfrieder/science-ghosts
공식 코드https://github.com/yiranwu0/mathchat
공식 코드MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
https://github.com/8023looker/med-rr
https://github.com/allenai/dolma
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/aryopg/mmlu-redux
https://github.com/baichuan-inc/baichuan-13b
https://github.com/baichuan-inc/baichuan-7b
https://github.com/baichuan-inc/baichuan2
https://github.com/bramiozo/PubScience
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/bunsenfeng/knowledge_card
https://github.com/duxiaoman-di/xuanyuan
https://github.com/instructlab/instructlab
https://github.com/lm-sys/routellm
https://github.com/nlp-uoregon/mlmm-evaluation
https://github.com/ollmer/mmlu
https://github.com/opennlplab/transnormerllm
https://github.com/petezh/ChatGPT-Advice
https://github.com/qingyun-wu/autogen-eval
MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/sanjass/MultiTaskLearning
https://github.com/vivo-ai-lab/bluelm
https://github.com/xverse-ai/xverse-13b
https://github.com/xverse-ai/xverse-7b
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.