https://github.com/habibullah-araphat/BERT-GPU
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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/habibullah-araphat/BERT-NER-TPU
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hackobi/AI-based-chatbot
https://github.com/haidershaour/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/haisongzhang/roberta-tiny-cased
https://github.com/haiyang-w/git
https://github.com/haiyang-w/tokenformer
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/halo090770/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hamil168/Chatbots
https://github.com/hamishivi/easylm
https://github.com/han-shi/SparseBERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/harenlin/IMDB-Sentiment-Analysis-Using-BERT-Fine-Tuning
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hate-alert/indicabusive
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/havenhq/mamba-chat
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/haydlite/sparse-bert-ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hazyresearch/ama_prompting
https://github.com/hegebharat/SelfDiscovery
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hegebharat/sentiment-Analysis-for-German-Datasets
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/helboukkouri/character-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/heraclex12/vietpunc
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hiejulia/data-mining
https://github.com/hieudepchai/BERT_IE
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/hilberthit/gpt-3
https://github.com/hit-scir/chinese-mixtral-8x7b
https://github.com/hiyouga/llama-efficient-tuning
https://github.com/hkuds/easyrec
https://github.com/hkunlp/batch-prompting
CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
https://github.com/hoangtrungchinh/Bert-SQuAD-v2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hoichunlaw/COVID-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/hojjat-mokhtarabadi/promptsource
https://github.com/hongking9/SemEval-2018-task12
The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants
https://github.com/hri-eu/attentivesupport
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions
https://github.com/hsjplus/high-level-kb-reasoning
Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning
https://github.com/huanghonggit/Mask-Language-Model
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/huberemanuel/DeBERTa
https://github.com/huggingface/transformers
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.