https://github.com/ibraheem-moosa/mt-ranker
공식 코드MT-Ranker: Reference-free machine translation evaluation by inter-system ranking
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ibraheem-moosa/xlm-indic
공식 코드https://github.com/icejinx33/auto-err-template-fill
공식 코드Automatic Error Analysis for Document-level Information Extraction
https://github.com/ichn-hu/Parsing-Obfuscation
공식 코드https://github.com/ict-bigdatalab/ugr
공식 코드A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
https://github.com/ictmcg/mtm
공식 코드https://github.com/ictmcg/u-vap
공식 코드U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
https://github.com/ictnlp/BoN-NAT
공식 코드Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
https://github.com/ictnlp/RSI-NAT
공식 코드Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
https://github.com/ictnlp/Seq-NAT
공식 코드Sequence-Level Training for Non-Autoregressive Neural Machine Translation
https://github.com/ictnlp/bs-simt
공식 코드Learning Optimal Policy for Simultaneous Machine Translation via Binary Search
https://github.com/ictnlp/ddrs-nat
공식 코드https://github.com/ictnlp/dual-paths
공식 코드Modeling Dual Read/Write Paths for Simultaneous Machine Translation
https://github.com/ictnlp/fa-dat
공식 코드Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
https://github.com/ictnlp/glance-simt
공식 코드https://github.com/ictnlp/lnmt-ca
공식 코드Low-resource Neural Machine Translation with Cross-modal Alignment
https://github.com/ictnlp/moce
공식 코드MoCE: Adaptive Mixture of Contextualization Experts for Byte-based Neural Machine Translation
https://github.com/ictnlp/moe-waitk
공식 코드Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy
https://github.com/ictnlp/nmla-nat
공식 코드Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
https://github.com/ictnlp/ped-simt
공식 코드Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation
https://github.com/ictnlp/pluvr
공식 코드Neural Machine Translation with Phrase-Level Universal Visual Representations
https://github.com/ictnlp/sammt
공식 코드Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation
https://github.com/ictnlp/sillm
공식 코드SiLLM: Large Language Models for Simultaneous Machine Translation
https://github.com/ictnlp/su4mt
공식 코드https://github.com/idecir/idecir-towards-effective-paraphrasing-for-information-disguise
공식 코드https://github.com/idiap/cncsharedtask
공식 코드https://github.com/idiap/dialog2flow
공식 코드https://github.com/idramalab/iDRAMA-scored-2024
공식 코드iDRAMA-Scored-2024: A Dataset of the Scored Social Media Platform from 2020 to 2023
https://github.com/iesl/diora
공식 코드Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders
https://github.com/iiscleap/eegspeech-matchmismatch
공식 코드Enhancing the EEG Speech Match Mismatch Tasks With Word Boundaries
https://github.com/iitmnlp/heads-hypothesis
공식 코드https://github.com/ijauregiCMCRC/Shared_Attention_for_APE
공식 코드A Shared Attention Mechanism for Interpretation of Neural Automatic Post-Editing Systems
https://github.com/ijcruic/llm-stance-labeling
공식 코드Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification
https://github.com/ikergarcia1996/context-enriched-ner
공식 코드https://github.com/ikergarcia1996/noticia
공식 코드NoticIA: A Clickbait Article Summarization Dataset in Spanish
https://github.com/ikuinen/regularized_two-branch_proposal_network
공식 코드Regularized Two-Branch Proposal Networks for Weakly-Supervised Moment Retrieval in Videos
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.