https://github.com/modelscope/modelscope-agent
공식 코드CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 3
- 평가표
- 11
- 보존된 평가 기록
- 19
A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/mohwald/gandtr
공식 코드Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
https://github.com/mollyshuu/rezg
공식 코드ReZG: Retrieval-Augmented Zero-Shot Counter Narrative Generation for Hate Speech
https://github.com/momarky/egma
공식 코드Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
https://github.com/monarch-initiative/dragon-ai-results
공식 코드Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)
https://github.com/monarch-initiative/gpt-ontology-completion-analysis
공식 코드Dynamic Retrieval Augmented Generation of Ontologies using Artificial Intelligence (DRAGON-AI)
https://github.com/monetjoe/emelodygen
공식 코드EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with the Musical Feature Template
https://github.com/mopurikreddy/strong-supervision
공식 코드https://github.com/morningmoni/GAR
공식 코드Generation-Augmented Retrieval for Open-domain Question Answering
https://github.com/morrisfl/unifex
공식 코드Efficient and Discriminative Image Feature Extraction for Universal Image Retrieval
https://github.com/mosheber/token_elimination
공식 코드Optimizing Retrieval-augmented Reader Models via Token Elimination
https://github.com/mpatacchiola/self-supervised-relational-reasoning
공식 코드Self-Supervised Relational Reasoning for Representation Learning
https://github.com/mpskex/Minimizing-Mutual-Information
공식 코드Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing
https://github.com/mramg-bench/mramg
공식 코드https://github.com/mrcgndr/plant_cataloging_workflow
공식 코드https://github.com/mrezende/concra
공식 코드CoNCRA: A Convolutional Neural Network Code Retrieval Approach
https://github.com/mrjleo/boilernet
공식 코드https://github.com/mrjleo/fast-forward-indexes
공식 코드https://github.com/mrjleo/ranking-models
공식 코드https://github.com/mrkshllr/bixt
공식 코드Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
https://github.com/mrzilinxiao/autover
공식 코드https://github.com/msaadsaeed/sbnet
공식 코드https://github.com/msakarvadia/attentionlens
공식 코드https://github.com/msarawut/HCI
공식 코드Effective and Efficient Indexing in Cross-Modal Hashing-Based Datasets
https://github.com/mshukor/tfood
공식 코드Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval
https://github.com/mshukor/vicha
공식 코드Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment
https://github.com/mshukor/vlpcook
공식 코드Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval
https://github.com/msracver/Deep-Exemplar-based-Colorization
공식 코드https://github.com/mtg/choralsynth
공식 코드https://github.com/mtkresearch/rad-bench
공식 코드RAD-Bench: Evaluating Large Language Models Capabilities in Retrieval Augmented Dialogues
https://github.com/mu-kindai/jcse
공식 코드JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications
https://github.com/muditchaudhary/CUHK-DSTC9
공식 코드https://github.com/mugen-org/MUGEN_baseline
공식 코드MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration
https://github.com/muhaochen/bilingual_dictionaries
공식 코드https://github.com/mukhal/lepus
공식 코드Few-shot Reranking for Multi-hop QA via Language Model Prompting
https://github.com/mukhal/promptrank
공식 코드Few-shot Reranking for Multi-hop QA via Language Model Prompting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.