https://github.com/trailab/hypermodest
Learning to Detect Mobile Objects from LiDAR Scans Without Labels
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/traviscoan/cards
https://github.com/tree-park/bert-pretrainer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tugstugi/mongolian-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/turkunlp/megatron-deepspeed
https://github.com/tvinith/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/tyxr/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/uabinf/nlp-fall-2019-project-shuhui_shuqu
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ufal/wembedding_service
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ukplab/arxiv2025-inherent-limits-plms
https://github.com/um-arm-lab/efficient-eng-2-ltl
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/unispac/visual-adversarial-examples-jailbreak-large-language-models
https://github.com/utterworks/fast-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/uva-dsa/ems-pipeline
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/uygarkurt/BERT-PyTorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/vanpersie32/Multigpu-Bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/vanslerry/long_text
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/varshakr24/CommonsenseReasoning
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning
https://github.com/vcskaushik/LLMzip
https://github.com/vectorch-ai/scalellm
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
https://github.com/venkyr91193/Sentiment-Analysis-with-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/venkyr91193/Sentiment_Analysis_with_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/vered1986/self_talk
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/vgaraujov/seq2seq-spanish-plms
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/viethoang1512/kpa
https://github.com/vijay120/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/vilm-ai/viet-llm-eval
https://github.com/viniciusoliveirasd/bert-applications
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/vmware-labs/bert-pretraining
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/volcengine/vegiantmodel
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/vvvm23/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/vvvm23/mamba-jax
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/wangcongcong123/ttt
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/wangcunxiang/SemEval2020-Task4-Commonsense-Validation-and-Explanation
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation
https://github.com/wayalhruhi/gogle_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/wchh127/yykf
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.