https://github.com/xssstory/STAS
공식 코드Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xuandongzhao/hpd
공식 코드Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation
https://github.com/xudonglinthu/upgradable-multimodal-intelligence
공식 코드Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval
https://github.com/xuekai-zhu/storytrans_public
공식 코드https://github.com/xuewyang/Fashion_Captioning
공식 코드Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards
https://github.com/xurige1995/3shnet
공식 코드3SHNet: Boosting Image-Sentence Retrieval via Visual Semantic-Spatial Self-Highlighting
https://github.com/xwgeng/SSAN
공식 코드How Does Selective Mechanism Improve Self-Attention Networks?
https://github.com/xwjim/sief
공식 코드Document-Level Relation Extraction with Sentences Importance Estimation and Focusing
https://github.com/xymou/EcoLANG
공식 코드EcoLANG: Efficient and Effective Agent Communication Language Induction for Social Simulation
https://github.com/xzascc/fcds
공식 코드FCDS: Fusing Constituency and Dependency Syntax into Document-Level Relation Extraction
https://github.com/xzhang00/qstr
공식 코드A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase Generation
https://github.com/y1ny/WordDeletion
공식 코드Active Use of Latent Constituency Representation in both Humans and Large Language Models
https://github.com/yafuly/CoGnition
공식 코드On Compositional Generalization of Neural Machine Translation
https://github.com/yafuly/syntacticgen
공식 코드https://github.com/yai12xlinq-b/imascl
공식 코드Improving Multi-lingual Alignment Through Soft Contrastive Learning
https://github.com/yairf11/MUPPET
공식 코드Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
https://github.com/yanaiela/num_fh
공식 코드https://github.com/yandex-research/msr
공식 코드https://github.com/yangalan123/situationaltesting
공식 코드Can You Follow Me? Testing Situational Understanding in ChatGPT
https://github.com/yangbang18/Non-Autoregressive-Video-Captioning
공식 코드https://github.com/yanghanxy/CIAN
공식 코드Character-level Intra Attention Network for Natural Language Inference
https://github.com/yangheng95/boosttextaugmentation
공식 코드BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
https://github.com/yanghh2000/alirector
공식 코드Alirector: Alignment-Enhanced Chinese Grammatical Error Corrector
https://github.com/yanglinyi/fine-grained-causal-reasoning
공식 코드https://github.com/yangxuntu/SGAE
공식 코드https://github.com/yangyi-chen/maya
공식 코드Multi-granularity Textual Adversarial Attack with Behavior Cloning
https://github.com/yangzhao1230/pcmdm
공식 코드Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling
https://github.com/yanmin-wu/eda
공식 코드EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
https://github.com/yannikkellerde/BERT-Defense
공식 코드https://github.com/yanzhangnlp/IS-BERT
공식 코드An Unsupervised Sentence Embedding Method by Mutual Information Maximization
https://github.com/yaq007/cleverhans/tree/master/examples/adversarial_asr
공식 코드Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
https://github.com/yashkhem1/RelateLM
공식 코드https://github.com/yaushian/msimcse
공식 코드English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings
https://github.com/yc1999/energy_wlac
공식 코드An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation
https://github.com/ycWang9725/WSTAN
공식 코드Weakly Supervised Temporal Adjacent Network for Language Grounding
https://github.com/yehli/xmodaler
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.