https://github.com/vasevarad/Discourse-Relation-Embeddings
공식 코드Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/vbeliveau/radiology-text-classification
공식 코드Classification of Radiological Text in Small and Imbalanced Datasets in a Non-English Language
https://github.com/vdenberg/context-in-informational-bias-detection
공식 코드https://github.com/vergrig/RuBia-Dataset
공식 코드https://github.com/verlab/empowering-sign-language
공식 코드https://github.com/verloop/few-shot-faqir
공식 코드Multi-Tenant Optimization For Few-Shot Task-Oriented FAQ Retrieval
https://github.com/vgtomahawk/LR_GC_OOD
공식 코드https://github.com/vgupta123/SCDV-MS
공식 코드Improving Document Classification with Multi-Sense Embeddings
https://github.com/vgupta123/contextualize_scdv
공식 코드https://github.com/victor-wang-902/surealm
공식 코드https://github.com/victorup/SoCP
공식 코드Controllable Multi-Character Psychology-Oriented Story Generation
https://github.com/victorywys/Learning2Ask_TypedDecoder
공식 코드Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders
https://github.com/vidhishanair/structured_summarizer
공식 코드https://github.com/vietai/mTet
공식 코드https://github.com/vijit-m/Adv-OLM
공식 코드https://github.com/vikigenius/conditional_text_generation
공식 코드Adversarial Learning on the Latent Space for Diverse Dialog Generation
https://github.com/vinairesearch/lampat
공식 코드LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
https://github.com/vinairesearch/phomt
공식 코드PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
https://github.com/vinairesearch/phost
공식 코드A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation
https://github.com/vinayak1/gcbs
공식 코드Global Contrastive Batch Sampling via Optimization on Sample Permutations
https://github.com/vincentleebang/eureqa
공식 코드Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
https://github.com/vipulraheja/coedit
공식 코드https://github.com/vipulraheja/iterater
공식 코드https://github.com/vishakhpk/creative-instructions
공식 코드Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing
https://github.com/vishakhpk/mi-unsup-summ
공식 코드Unsupervised Extractive Summarization using Pointwise Mutual Information
https://github.com/vishakhpk/mil-creative-captioning
공식 코드https://github.com/vistec-AI/thai2transformers
공식 코드WangchanBERTa: Pretraining transformer-based Thai Language Models
https://github.com/vityavitalich/imad
공식 코드https://github.com/vivisimo/QuestionGeneration
공식 코드https://github.com/voidism/diffcse
공식 코드DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
https://github.com/voidism/selfcite
공식 코드SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models
https://github.com/vsislab/Controllable_XGating
공식 코드Controllable Video Captioning with POS Sequence Guidance Based on Gated Fusion Network
https://github.com/vyraun/dlp
공식 코드On Dimensional Linguistic Properties of the Word Embedding Space
https://github.com/w4k2/sentence-space-stream
공식 코드Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain
https://github.com/wabyking/qnn
공식 코드https://github.com/wang-haining/rlam
공식 코드Science Out of Its Ivory Tower: Improving Accessibility with Reinforcement Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.