https://github.com/alibaba/AliceMind/tree/main/PALM
공식 코드PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
Papers with Code 아카이브
Generative Question Answering
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/allenai/macaw
공식 코드https://github.com/bmi-labmedinfo/nlp-radiology-paper
공식 코드Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
https://github.com/declare-lab/CICERO
공식 코드CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues
https://github.com/hwanheelee1993/KPQA
공식 코드KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
https://github.com/jxfeb/Generative_QA
공식 코드https://github.com/microsoft/unilm
공식 코드Unified Language Model Pre-training for Natural Language Understanding and Generation
https://github.com/nikolamilosevic86/verif.ai
공식 코드https://github.com/open-compass/anah
공식 코드ANAH: Analytical Annotation of Hallucinations in Large Language Models
https://github.com/vgaraujov/seq2seq-spanish-plms
공식 코드https://github.com/xinyadu/rgqa
공식 코드Retrieval-Augmented Generative Question Answering for Event Argument Extraction
https://github.com/KnightZhang625/BERT_TF
Unified Language Model Pre-training for Natural Language Understanding and Generation
https://github.com/LeonZh0u/Chatbot
Unified Language Model Pre-training for Natural Language Understanding and Generation
https://github.com/MindCode-4/code-10/tree/main/FDDE/train-fine
https://github.com/MindSpore-scientific/code-12/tree/main/FDDE/train-fine
https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/ernie_gen/modeling.py
https://github.com/Sharpiless/Versailles-text-generation-with-paddlepaddle
https://github.com/YunwenTechnology/Unilm
Unified Language Model Pre-training for Natural Language Understanding and Generation
https://github.com/chandrayee/ctrl-simp
https://github.com/facebookresearch/data2vec_vision
Unified Language Model Pre-training for Natural Language Understanding and Generation
https://github.com/fuqiang-git-hub/unilmv1-Paddle
Unified Language Model Pre-training for Natural Language Understanding and Generation
https://github.com/https-github-com-GiangHoang9912/ernie-gen
https://github.com/iit-nlp-research/chatgpt-crawler
https://github.com/jiaruncao/BioCopyMechanism
Unified Language Model Pre-training for Natural Language Understanding and Generation
https://github.com/leozhoujf/DataSciComp
https://github.com/mrzjy/sunburst
https://github.com/overwindows/PALM
PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
https://github.com/robinsongh381/unilm_pytorch_korean
Unified Language Model Pre-training for Natural Language Understanding and Generation
https://github.com/stanfordnlp/coqa-baselines
https://github.com/uabinf/nlp-fall-2019-project-anuradha_shinjitha
Unified Language Model Pre-training for Natural Language Understanding and Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.