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평가표

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보존된 평가 기록

5

코드

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

https://github.com/iampushpdeep/culturaladapteval

공식 코드

Translating Across Cultures: LLMs for Intralingual Cultural Adaptation

https://github.com/iampushpdeep/gender-bias-hi-en-eval

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Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine Translation

https://github.com/ianhuang0630/aladdin

공식 코드

Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions

https://github.com/ibalazevic/lp-ssl

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Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows

https://github.com/ibm/expressive-reasoning-graph-store

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Expressive Reasoning Graph Store: A Unified Framework for Managing RDF and Property Graph Databases

https://github.com/ibraheem-moosa/mt-ranker

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MT-Ranker: Reference-free machine translation evaluation by inter-system ranking

https://github.com/iclr-complex-order/complex-order

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Encoding word order in complex embeddings

https://github.com/icon-lab/SelfRDB

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Self-Consistent Recursive Diffusion Bridge for Medical Image Translation

https://github.com/icon-lab/pflsynth

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One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI Synthesis

https://github.com/icon-lab/syndiff

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Unsupervised Medical Image Translation with Adversarial Diffusion Models

https://github.com/ictnlp/BoN-NAT

공식 코드

Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation

https://github.com/ictnlp/DST

공식 코드

Decoder-only Streaming Transformer for Simultaneous Translation

https://github.com/ictnlp/DiverseNMT

공식 코드

Modeling Fluency and Faithfulness for Diverse Neural Machine Translation

https://github.com/ictnlp/GS4NMT

공식 코드

Greedy Search with Probabilistic N-gram Matching for Neural Machine Translation

https://github.com/ictnlp/NA-MNMT

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Importance-based Neuron Allocation for Multilingual Neural Machine Translation

https://github.com/ictnlp/PTE-NMT

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Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation

https://github.com/ictnlp/RSI-NAT

공식 코드

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation

https://github.com/ictnlp/Seq-NAT

공식 코드

Sequence-Level Training for Non-Autoregressive Neural Machine Translation

https://github.com/ictnlp/TLAT-NMT

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Token-level Adaptive Training for Neural Machine Translation

https://github.com/ictnlp/bayling

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BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models

https://github.com/ictnlp/bs-simt

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Learning Optimal Policy for Simultaneous Machine Translation via Binary Search

https://github.com/ictnlp/bt4st

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Back Translation for Speech-to-text Translation Without Transcripts

https://github.com/ictnlp/cmot

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CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation

https://github.com/ictnlp/cokd

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Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation

https://github.com/ictnlp/cress

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Understanding and Bridging the Modality Gap for Speech Translation

https://github.com/ictnlp/ctc-s2ut

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CTC-based Non-autoregressive Textless Speech-to-Speech Translation

https://github.com/ictnlp/daspeech

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DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation

https://github.com/ictnlp/ddrs-nat

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One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation

https://github.com/ictnlp/diseg

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End-to-End Simultaneous Speech Translation with Differentiable Segmentation

https://github.com/ictnlp/dual-paths

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Modeling Dual Read/Write Paths for Simultaneous Machine Translation

https://github.com/ictnlp/fa-dat

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Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation

https://github.com/ictnlp/glance-simt

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Glancing Future for Simultaneous Machine Translation

https://github.com/ictnlp/gma

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Gaussian Multi-head Attention for Simultaneous Machine Translation

https://github.com/ictnlp/hmt

공식 코드

Hidden Markov Transformer for Simultaneous Machine Translation

https://github.com/ictnlp/itst

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Information-Transport-based Policy for Simultaneous Translation

https://github.com/ictnlp/lfr-nmt

공식 코드

Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions

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