https://github.com/navid-aub/esperanto-dataset
공식 코드ESPERANTO: Evaluating Synthesized Phrases to Enhance Robustness in AI Detection for Text Origination
Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/nazaninsbr/Persian-English-Code-mixed-Sentiment-Analysis
공식 코드https://github.com/neccam/slt
공식 코드Sign Language Transformers: Joint End-to-end Sign Language Recognition and Translation
https://github.com/nechbamohammed/swiftlogisticreg
공식 코드High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation Comparison
https://github.com/neelbhandari6/nmt_text_attack
공식 코드Lost In Translation: Generating Adversarial Examples Robust to Round-Trip Translation
https://github.com/netease-youdao/cmlm_da
공식 코드https://github.com/nethermanpro/comsl
공식 코드ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
https://github.com/nethermanpro/transvip
공식 코드TransVIP: Speech to Speech Translation System with Voice and Isochrony Preservation
https://github.com/neubig/globalutility
공식 코드Systematic Inequalities in Language Technology Performance across the World's Languages
https://github.com/neubig/rapid-adaptation
공식 코드Rapid Adaptation of Neural Machine Translation to New Languages
https://github.com/neucol/llm-conversion-performance
공식 코드https://github.com/neulab/BARTScore
공식 코드https://github.com/neulab/awesome-align
공식 코드Word Alignment by Fine-tuning Embeddings on Parallel Corpora
https://github.com/neulab/compare-mt
공식 코드compare-mt: A Tool for Holistic Comparison of Language Generation Systems
https://github.com/neulab/contextual-mt
공식 코드Measuring and Increasing Context Usage in Context-Aware Machine Translation
https://github.com/neulab/extreme-adaptation-for-personalized-translation
공식 코드Extreme Adaptation for Personalized Neural Machine Translation
https://github.com/neulab/word-embeddings-for-nmt
공식 코드When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?
https://github.com/neulab/xnmt
공식 코드https://github.com/neuralchen/CooGAN
공식 코드CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing
https://github.com/ngovinhtn/charTransform
공식 코드https://github.com/nhuang37/approx_equivariant_graph_nets
공식 코드https://github.com/nicecv/diffharmony
공식 코드DiffHarmony: Latent Diffusion Model Meets Image Harmonization
https://github.com/nickeilf/visual-cues-error-correction
공식 코드https://github.com/nicolae-teodor-pavel/commit-message-generation
공식 코드A Sketch-Based Neural Model for Generating Commit Messages from Diffs
https://github.com/nicolasugrinovic/size_depth_disambiguation
공식 코드Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
https://github.com/nightingal3/idiom-translation
공식 코드https://github.com/ningningyang/NDPR
공식 코드Recovering Dropped Pronouns in Chinese Conversations via Modeling Their Referents
https://github.com/ningningyang/Transformer-GCRF
공식 코드Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
https://github.com/nish03/FMIVis
공식 코드Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas
https://github.com/nithin-gk/t2v-ddpm
공식 코드T2V-DDPM: Thermal to Visible Face Translation using Denoising Diffusion Probabilistic Models
https://github.com/nitikam/tangled
공식 코드Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics
https://github.com/niutrans/niutensor
공식 코드https://github.com/nju-websoft/JAPE
공식 코드Cross-lingual Entity Alignment via Joint Attribute-Preserving Embedding
https://github.com/njunlp/knn-box
공식 코드kNN-BOX: A Unified Framework for Nearest Neighbor Generation
https://github.com/njunlp/mmt-llm
공식 코드Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
https://github.com/njunlp/qalign
공식 코드Question Translation Training for Better Multilingual Reasoning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.