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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/eske/multivec

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments

https://github.com/eske/seq2seq

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ethanjperez/true_few_shot

Language Models are Few-Shot Learners

https://github.com/evanthebouncy/stoicastic_beam

Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement

https://github.com/evaportelance/structure-meaning-learning

Reframing linguistic bootstrapping as joint inference using visually-grounded grammar induction models

https://github.com/evtaktasheva/dependency_extraction

Multilingual Denoising Pre-training for Neural Machine Translation

https://github.com/exploration-lab/iitk-semeval-2024-task-1

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

https://github.com/ezelikman/Context-Is-Everything

Contextual Salience for Fast and Accurate Sentence Vectors

https://github.com/f-data/ADD

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/fabriciomurai/neuralwarp

NeuralWarp: Time-Series Similarity with Warping Networks

https://github.com/fabyangliu/AGCNN-Sentence-Classification

An Attention-Gated Convolutional Neural Network for Sentence Classification

https://github.com/fabyangliu/AGCNN_sentence_classification

An Attention-Gated Convolutional Neural Network for Sentence Classification

https://github.com/facebookresearch/CodeGen

Leveraging Automated Unit Tests for Unsupervised Code Translation

https://github.com/facebookresearch/GENRE

Multilingual Denoising Pre-training for Neural Machine Translation

https://github.com/facebookresearch/MUSE

Unsupervised Machine Translation Using Monolingual Corpora Only

https://github.com/facebookresearch/UnsupervisedQA

Phrase-Based & Neural Unsupervised Machine Translation

https://github.com/facebookresearch/XLM

Phrase-Based & Neural Unsupervised Machine Translation

https://github.com/facebookresearch/XNLI

XNLI: Evaluating Cross-lingual Sentence Representations

https://github.com/facebookresearch/anli

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://github.com/facebookresearch/data2vec_vision

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

https://github.com/facebookresearch/end-to-end-negotiator

Hierarchical Text Generation and Planning for Strategic Dialogue

https://github.com/facebookresearch/fairseq

A Convolutional Encoder Model for Neural Machine Translation

https://github.com/facebookresearch/pytext

Convolutional Neural Networks for Sentence Classification

https://github.com/facebookresearch/text_characterization_toolkit

HellaSwag: Can a Machine Really Finish Your Sentence?

https://github.com/facebookresearch/vizseq

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

https://github.com/fajri91/Multi_SummEval

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

https://github.com/fanchenyou/deepdiary

Show and Tell: A Neural Image Caption Generator

https://github.com/fangrouli/Document-embedding-generation-models

Convolutional Neural Networks for Sentence Classification

https://github.com/fangyiyu/Modified_MNIST_Classification

Language Modeling with Gated Convolutional Networks

https://github.com/farizrahman4u/seq2seq

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/fastrapp/fastr-android-app

Learning to detect dysarthria from raw speech

https://github.com/fatma-mohamed-98/Recognising-Textual-Entailment-using-Decomposable-Attention

A Decomposable Attention Model for Natural Language Inference

https://github.com/fenchri/edge-oriented-graph

Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs

https://github.com/fengyang0317/unsupervised_captioning

Unsupervised Image Captioning

https://github.com/feyzaakyurek/XLM-LwLL

Phrase-Based & Neural Unsupervised Machine Translation

https://github.com/for-ai/llm-profiling-toolkit

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.