https://github.com/DannyMerkx/caption2image
공식 코드Learning semantic sentence representations from visually grounded language without lexical knowledge
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 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/DannyMerkx/next_word_prediction
공식 코드https://github.com/DannyMerkx/speech2image
공식 코드https://github.com/DaoD/CSN
공식 코드Content Selection Network for Document-grounded Retrieval-based Chatbots
https://github.com/DaoD/KPN
공식 코드Proactive Retrieval-based Chatbots based on Relevant Knowledge and Goals
https://github.com/DataScienceUIBK/Rankify
공식 코드https://github.com/Debrup-61/RaDeR
공식 코드https://github.com/DeepAuto-AI/automl-agent
공식 코드AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
https://github.com/DeepLearnXMU/CMTMR
공식 코드Towards Cross-Modal Text-Molecule Retrieval with Better Modality Alignment
https://github.com/DeepSoftwareAnalytics/CommitMsgEmpirical
공식 코드On the Evaluation of Commit Message Generation Models: An Experimental Study
https://github.com/Deferf/CLIP_Video_Representation
공식 코드https://github.com/Delong-liu-bupt/Word4Per
공식 코드Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
https://github.com/DevSinghSachan/art
공식 코드Questions Are All You Need to Train a Dense Passage Retriever
https://github.com/DevSinghSachan/emdr2
공식 코드End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
https://github.com/DevSinghSachan/unsupervised-passage-reranking
공식 코드Improving Passage Retrieval with Zero-Shot Question Generation
https://github.com/DevinJake/MARL
공식 코드Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
https://github.com/DiwanshuShekhar/bi_encoder_lstm
공식 코드https://github.com/Dong-JinKim/DenseRelationalCaptioning
공식 코드Dense Relational Image Captioning via Multi-task Triple-Stream Networks
https://github.com/DongqiFu/DPPIN
공식 코드DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data
https://github.com/Dongzhikang/MuseChat-dataset
공식 코드MuseChat: A Conversational Music Recommendation System for Videos
https://github.com/Douglas2Code/Img2Loc
공식 코드https://github.com/DreadPiratePsyopus/Fine_Grained_Clf
공식 코드https://github.com/DreamH1gh/TACL2024
공식 코드Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification
https://github.com/Drkun/ZSTCI
공식 코드https://github.com/EIT-NLP/InfoSearch
공식 코드Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
https://github.com/EagleW/Multimedia-Generative-Script-Learning-for-Task-Planning
공식 코드https://github.com/EauDeData/DEW-NDCG
공식 코드Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
https://github.com/EducationalTestingService/CATS
공식 코드Two-Level Transformer and Auxiliary Coherence Modeling for Improved Text Segmentation
https://github.com/EliSpectre/CVPR25-AutoSSVH
공식 코드AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing
https://github.com/EmergenceAI/dartboard
공식 코드https://github.com/Eric-Wallace/trickme-interface
공식 코드Trick Me If You Can: Human-in-the-loop Generation of Adversarial Examples for Question Answering
https://github.com/EsmaeilNarimissa/RAG-Retrieval-Analysis
공식 코드https://github.com/Evan1578/BIPSDA
공식 코드Can Diffusion Models Provide Rigorous Uncertainty Quantification for Bayesian Inverse Problems?
https://github.com/Evanwu1125/ChartCards
공식 코드ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
https://github.com/EvoNexusX/Graph-Retrieval-Augmented-Trustworthiness-Reasoning
공식 코드GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness Reasoning
https://github.com/FangyunWei/SLRT
공식 코드CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.