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

https://github.com/lancopku/Explicit-Sparse-Transformer

공식 코드

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection

https://github.com/lancopku/MUSE

공식 코드

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning

https://github.com/lancopku/bag-of-words

공식 코드

Bag-of-Words as Target for Neural Machine Translation

https://github.com/lancopku/fedmnmt

공식 코드

Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter

https://github.com/lancopku/unpaired-sentiment-translation

공식 코드

Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach

https://github.com/lancopku/well-classified-examples-are-underestimated

공식 코드

Well-classified Examples are Underestimated in Classification with Deep Neural Networks

https://github.com/lang-uk/dragoman

공식 코드

Setting up the Data Printer with Improved English to Ukrainian Machine Translation

https://github.com/langtech-bsc/mt-evaluation

공식 코드

MT-LENS: An all-in-one Toolkit for Better Machine Translation Evaluation

https://github.com/laniqo-public/do-not-change-me

공식 코드

Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual Perspective

https://github.com/laniqo-public/fame-mt

공식 코드

FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes

https://github.com/lara-martin/ASTER

공식 코드

Event Representations for Automated Story Generation with Deep Neural Nets

https://github.com/laurieburchell/exploring-diversity-bt

공식 코드

Exploring Diversity in Back Translation for Low-Resource Machine Translation

https://github.com/lavine-lmu/bi-acl

공식 코드

Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation

https://github.com/lavine-lmu/m4adapter

공식 코드

$m^4Adapter$: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter

https://github.com/lavine-lmu/rmlnmt

공식 코드

Improving Both Domain Robustness and Domain Adaptability in Machine Translation

https://github.com/lavoiems/Cats-UDT

공식 코드

Integrating Categorical Semantics into Unsupervised Domain Translation

https://github.com/law-ai/milpac

공식 코드

MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages

https://github.com/laxmaniron/MSG-U-Net

공식 코드

Efficient High-Resolution Image-to-Image Translation using Multi-Scale Gradient U-Net

https://github.com/layer6ai-labs/dims

공식 코드

DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation

https://github.com/lbh0830/TW-Hokkien-LLM

공식 코드

Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems

https://github.com/leduckhai/multimed-st

공식 코드

MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation

https://github.com/leililab/infinisst

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InfiniSST: Simultaneous Translation of Unbounded Speech with Large Language Model

https://github.com/lemmonation/abnet

공식 코드

Incorporating BERT into Parallel Sequence Decoding with Adapters

https://github.com/lemmonation/fcl-nat

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Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation

https://github.com/lemon0830/codec

공식 코드

Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding

https://github.com/lemon0830/tim

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TIM: Teaching Large Language Models to Translate with Comparison

https://github.com/lena-voita/good-translation-wrong-in-context

공식 코드

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion

https://github.com/lena-voita/the-story-of-heads

공식 코드

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

https://github.com/lenacabrera/gb_mnmt

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Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual Translation

https://github.com/lenck/ddet

공식 코드

Learning Covariant Feature Detectors

https://github.com/lenka98/Bind-Deblurring-using-GANs

공식 코드

Blind Deblurring Using GANs

https://github.com/leoprover/logic-embedding

공식 코드

Theorem Proving in Dependently-Typed Higher-Order Logic -- Extended Preprint

https://github.com/lesley222/HJAILab-OPEN

공식 코드

RL-I2IT: Image-to-Image Translation with Deep Reinforcement Learning

https://github.com/leukas/charlevelmt

공식 코드

Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation

https://github.com/leukas/patchinggbst

공식 코드

Patching Leaks in the Charformer for Efficient Character-Level Generation

https://github.com/leukas/sdd

공식 코드

Subword-Delimited Downsampling for Better Character-Level Translation

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