https://github.com/fstahlberg/ucam-scripts
공식 코드An Operation Sequence Model for Explainable Neural Machine Translation
Papers with Code 아카이브
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태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ft-zhou-zzz/cmta
공식 코드https://github.com/fudanxu/MSTAR-AConvNet
공식 코드https://github.com/fungus75/phonemes_s2s_pipeline
공식 코드https://github.com/fuyaluo/foalgan
공식 코드Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning
https://github.com/fuyaluo/morngan
공식 코드Memory-Guided Collaborative Attention for Nighttime Thermal Infrared Image Colorization
https://github.com/fzp0424/ladder
공식 코드Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
https://github.com/fzp0424/mt-ladder
공식 코드Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
https://github.com/fzp0424/mt-r1-zero
공식 코드MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning
https://github.com/fzp0424/self_correct_mt
공식 코드TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement
https://github.com/g8a9/building-bridges-gender-fair-german-mt
공식 코드Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German
https://github.com/g8a9/gender-bias-qe-metrics
공식 코드Watching the Watchers: Exposing Gender Disparities in Machine Translation Quality Estimation
https://github.com/gabrielStanovsky/yall
공식 코드Yall should read this! Identifying Plurality in Second-Person Personal Pronouns in English Texts
https://github.com/galaxychen/wlac-joint-training
공식 코드Rethinking Word-Level Auto-Completion in Computer-Aided Translation
https://github.com/galmetzer/z2p
공식 코드https://github.com/galpatel/minimal-paraphrases
공식 코드On Neurons Invariant to Sentence Structural Changes in Neural Machine Translation
https://github.com/galsang/SemEval2018-task12
공식 코드https://github.com/gaparmar/img2img-turbo
공식 코드https://github.com/gblackout/logicllama
공식 코드Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation
https://github.com/george0828zhang/sinkhorn-simultrans
공식 코드Anticipation-Free Training for Simultaneous Machine Translation
https://github.com/georgevern/smala
공식 코드https://github.com/getalp/mass-dataset
공식 코드https://github.com/gglab-ku/turkish-plu
공식 코드Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish
https://github.com/ghchen18/acl22-sixtp
공식 코드Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine Translation
https://github.com/ghchen18/emnlp2021-sixt
공식 코드Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders
https://github.com/ghomashudson/muld
공식 코드https://github.com/gianlucavico/larth-etruscan-nlp
공식 코드https://github.com/giannispikoulis/dsml-thesis
공식 코드Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
https://github.com/giddyyupp/AdvSegLoss
공식 코드https://github.com/giddyyupp/ganilla
공식 코드GANILLA: Generative Adversarial Networks for Image to Illustration Translation
https://github.com/giddyyupp/wait
공식 코드WAIT: Feature Warping for Animation to Illustration video Translation using GANs
https://github.com/gijswijnholds/sick_nl
공식 코드https://github.com/gitwzl/motbench
공식 코드https://github.com/gjiaying/zs-ska
공식 코드Prompt-based Zero-shot Relation Extraction with Semantic Knowledge Augmentation
https://github.com/gjwubyron/evo
공식 코드Evaluating Automatic Metrics with Incremental Machine Translation Systems
https://github.com/gncs/molgym
공식 코드Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.