https://github.com/rasta-nitzsche/Bert-For-Algerian-Dialect-DariBERTo
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/re-search/DocProduct
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/replicate/cog_stanford_alpaca
https://github.com/reppy4620/Dialog
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ricaelum42/Contextual-Twitter-Sarcasm-Detection
https://github.com/ricardordb/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/rickyHong/Google-BERT-repl
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ririw/data-talk-2016-06
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data
https://github.com/rlqja1107/torch-LLM4SGG
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
https://github.com/roberttwomey/machine-imagination-isea
https://github.com/roberttwomey/machine-imagination-workshop
https://github.com/rohan400/PepperQA
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/rohanshad/cmr_transformer
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/roshaan7zafar/-MAX-Text-Sentiment-Classifier
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/rpuiggari/bert2
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ruc-nlpir/flashrag
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
https://github.com/rucaibox/safe
QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering
https://github.com/rvlopes/gloria
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
https://github.com/s-nlp/russe_detox_2022
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/safakkbilici/Academic-Paper-Title-Recommendation
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
https://github.com/safe-graph/GNN-FakeNews
Fake News Detection on Social Media using Geometric Deep Learning
https://github.com/sagorbrur/bangla-bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sagorbrur/codeswitch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sajjjadayobi/ParsBigBird
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/salesforce/GeDi
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/salesforce/codet5
https://github.com/salesforce/cos-e
Explain Yourself! Leveraging Language Models for Commonsense Reasoning
https://github.com/sambanova/lm-evaluation-harness
https://github.com/samirsahoo007/Audio-and-Speech-Processing
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/samwisegamjeee/pytorch-transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sap-samples/emnlp2021-contrastive-refinement
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations
https://github.com/saravanakumarjsk/BERT-collection
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/satwikkottur/VisualWord2Vec
Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes
https://github.com/saurabhkulkarni77/BERT_multilabel
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/saurabhnlp/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/sayhitosandy/Chatbot
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.