Papers with Code 아카이브
Common Sense Reasoning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 17
- 평가표
- 24
- 보존된 평가 기록
- 397
Common sense reasoning tasks are intended to require the model to go beyond pattern recognition. Instead, the model should use "common sense" or world knowledge to make inferences.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhu-0108/mts-unmixers
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/zihanzhaosjtu/librisqa
https://github.com/zixuwang1996/VQA-reading-list
Visual Question Answering using Deep Learning: A Survey and Performance Analysis
https://github.com/zjunlp/deepke
https://github.com/znhy1024/protoco
https://github.com/zongqianwu/st-cot
https://github.com/zphang/lm_evaluation_harness
https://github.com/zsweet/BERT_zsw
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zyphra/blackmamba
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/zzmtsvv/mamba-interface
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.