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

https://github.com/llStringll/Poly-encoders

Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

https://github.com/llm-editing/editing-attack

Can Editing LLMs Inject Harm?

https://github.com/lonePatient/albert_pytorch

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

https://github.com/longbai1006/surgical-vqla

Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer

https://github.com/longhao-chen/aicas2024

Language Models are Few-Shot Learners

https://github.com/longjj/Caffe-SGDR

Show and Tell: A Neural Image Caption Generator

https://github.com/longlongman/CasRel-pytorch-reimplement

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

https://github.com/lovit/KoBERTScore

BERTScore: Evaluating Text Generation with BERT

https://github.com/lovit/ko-BERTScore

BERTScore: Evaluating Text Generation with BERT

https://github.com/lrank/Linguistic_adversity

Convolutional Neural Networks for Sentence Classification

https://github.com/lrank/Robust-Representation

Convolutional Neural Networks for Sentence Classification

https://github.com/ltruncel/Microsoft_Azure_50daysofudacity

Language Models are Few-Shot Learners

https://github.com/luanyi/DyGIE

Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

https://github.com/lucidrains/compressive-transformer-pytorch

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

https://github.com/lucidrains/memory-compressed-attention

Generating Wikipedia by Summarizing Long Sequences

https://github.com/lucidrains/routing-transformer

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

https://github.com/lucidrains/sinkhorn-transformer

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

https://github.com/lucidrains/transformer-in-transformer

Transformer in Transformer

https://github.com/lucy3/bertwsi

Towards better substitution-based word sense induction

https://github.com/lucy66666/okt

Recommendations for Datasets for Source Code Summarization

https://github.com/lucylow/En_francais_si_vous_plait-

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/lukecq1231/enc_nli

Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

https://github.com/luofuli/DualLanST

Phrase-Based & Neural Unsupervised Machine Translation

https://github.com/luofuli/DualRL

Phrase-Based & Neural Unsupervised Machine Translation

https://github.com/luoweizhou/coco-caption

CIDEr: Consensus-based Image Description Evaluation

https://github.com/luozhilin99/bert

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

https://github.com/luweizhang/joint_embeddings

Skip-Thought Vectors

https://github.com/luxinyu1/Chinese-LS

Chinese Lexical Simplification

https://github.com/lvapeab/coco-caption

CIDEr: Consensus-based Image Description Evaluation

https://github.com/lvyufeng/mindspore-nlp-tutorial

Convolutional Neural Networks for Sentence Classification

https://github.com/lxdragoon/Modified-mnist

Language Modeling with Gated Convolutional Networks

https://github.com/lyqcom/albert

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

https://github.com/m3hrdadfi/news-headline-generation

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

https://github.com/m3hrdadfi/wiki-summary

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

https://github.com/macco3k/deepstories

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

https://github.com/machine-learning-study-group/movie-sentiment-analysis

Convolutional Neural Networks for Sentence Classification

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