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/abhiagg92/bert_sentiment
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/abhilash1910/BERTSimilarity
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/abhilashreddys/Fake-News-Article
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/abhineet/sentence_classification_pubmed_scibert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/abhishekanand1710/noiseandbias
https://github.com/abmitra84/Language_Modeling
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/aemami1/KnowRef60k
https://github.com/aethercortex/llama-x
https://github.com/af-ai-center/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/af-ai-center/nerblackbox
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ai21labs/lm-evaluation
https://github.com/aiot-mlsys-lab/famba-v
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/airc-keti/ke-t5
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/airsplay/vimpac
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/aistairc/kirt_bert_on_abci
https://github.com/akanyaani/miniLLAMA
https://github.com/akshyta/Human-Activity-Recognition
The "something something" video database for learning and evaluating visual common sense
https://github.com/aleksac99/SQuAD-SR
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/alexis-jacq/Pytorch-ChatBot
https://github.com/algharak/BERTenhance
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/alibaba/EasyNLP
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/allenai/CommonGen-Eval
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
https://github.com/allenai/c4-documentation
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/allenai/dolma
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/allenai/macaw
https://github.com/amauriciorr/AubreyBot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/amazon-science/alexa-teacher-models
AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model
https://github.com/amazon-science/chronos-forecasting
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/ambityga/memsem
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/andi611/Mockingjay-Speech-Representation
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/anton-bushuiev/ppiformer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/anupamsingh610/bert_ner_stride
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/anzeyimana/deepkin
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/aozhongzhang/magr
https://github.com/appcoreopc/berty
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.