https://github.com/tricktreat/promptner
공식 코드PromptNER: Prompt Locating and Typing for Named Entity Recognition
Papers with Code 아카이브
Prompt Learning
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ubiquitouslearning/fes
공식 코드https://github.com/usagisukisuki/oneshot-part-cellsegmentation
공식 코드One-shot and Partially-Supervised Cell Image Segmentation Using Small Visual Prompt
https://github.com/viethoang1512/pga
공식 코드Enhancing Domain Adaptation through Prompt Gradient Alignment
https://github.com/vill-lab/2024-aaai-hpt
공식 코드Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models
https://github.com/violet24k/morpher
공식 코드Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision?
https://github.com/virobo-15/efficient-3d-aware-facial-image-editing
공식 코드Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning
https://github.com/w-rudder/tea-glm
공식 코드LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
https://github.com/wangkai930418/DPL
공식 코드Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
https://github.com/wangkai930418/mc_ti
공식 코드Multi-Class Textual-Inversion Secretly Yields a Semantic-Agnostic Classifier
https://github.com/wangyiqi/pmpo
공식 코드https://github.com/wangzl99/AdaptPrompt
공식 코드https://github.com/waysonren/pernee
공식 코드https://github.com/wenwenyu/tcm
공식 코드https://github.com/wivizhang/earthmarker
공식 코드EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
https://github.com/wlb12345/tfup
공식 코드Training-Free Unsupervised Prompt for Vision-Language Models
https://github.com/wssun/promptcs
공식 코드https://github.com/wut-idea/kp-pcr
공식 코드Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
https://github.com/wxxshirley/awesome-graph-prompt
공식 코드https://github.com/wzh-nlp/pltr
공식 코드Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
https://github.com/xiangtaokong/mioir
공식 코드Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy
https://github.com/xiaofang007/vip
공식 코드Aligning Medical Images with General Knowledge from Large Language Models
https://github.com/xie-lab-ml/golden-noise-for-diffusion-models
공식 코드https://github.com/xinleihe/toxic-prompt
공식 코드https://github.com/xjjxmu/textrefiner
공식 코드TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning
https://github.com/xsc1234/match-prompt
공식 코드https://github.com/xtLyu/CrossBA
공식 코드Cross-Context Backdoor Attacks against Graph Prompt Learning
https://github.com/xuboyue1999/mmtrack
공식 코드Visual and Memory Dual Adapter for Multi-Modal Object Tracking
https://github.com/xxm1215/mmm2025_few-shot
공식 코드AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
https://github.com/yasamin-med/p2p
공식 코드Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images
https://github.com/ybzh/lapt
공식 코드LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
https://github.com/ycfate/id-like
공식 코드ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
https://github.com/ycheoo/fppl
공식 코드FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
https://github.com/yilunlee/missing_aware_prompts
공식 코드Multimodal Prompting with Missing Modalities for Visual Recognition
https://github.com/yiwang454/prompt_ad_code
공식 코드Exploiting prompt learning with pre-trained language models for Alzheimer's Disease detection
https://github.com/youngjae-cho/app
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.