https://github.com/circlePi/BERT_Chinese_Text_Class_By_pytorch
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/clear-nus/llm-human-model
https://github.com/clovaai/textual-kd-slu
https://github.com/cmunnis/BERT_vs_Transformer-XL
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/coco60/bert-test
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/codedotal/gpt-code-clippy
https://github.com/codegram/calbert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/codertimo/BERT-pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/coldmist-lu/erroranalysis_prompt
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
https://github.com/common-english/bert-all
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/conceptofmind/LaMDA-pytorch
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/conceptofmind/PaLM-flax
https://github.com/conceptofmind/lamda-rlhf-pytorch
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/consequentai/fneval
https://github.com/contextlab/abstract2paper
https://github.com/coronazap/bert_client
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/cospplay/bert-master
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/crazydigger/Callibration-of-GPT
https://github.com/crherlihy/clinical_nli_artifacts
WinoGrande: An Adversarial Winograd Schema Challenge at Scale
https://github.com/crx934080895/Bert-CRF_New2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/cuber2460/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/cui0523/Code6/tree/main/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/cybertronai/megatron-lm
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/cypressd1999/FYP_2021
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/danlim-wz/analysis_of_social_media_data_about_singapore
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/darr/nerbert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/darr/nlp_work
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/davidbellamy/labrador
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/davidsvaughn/dts-tf
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/dawn0815/UniSA
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/dbmdz/historic-ner
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/debjitpaul/Multi-Hop-Knowledge-Paths-Human-Needs
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
https://github.com/debnsuma/AmazonSageMaker101
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/debnsuma/Intro-Transformer-BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deepmind/xquad
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/deepmipt/Slavic-BERT-NER
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.