Papers with Code 아카이브

Retrieval

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전체 기법 전체 데이터셋

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://bitbucket.org/RToroIcarte/cn-detectors

공식 코드

How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval

https://bitbucket.org/TomKenter/attentive-memory-networks-code

공식 코드

Attentive Memory Networks: Efficient Machine Reading for Conversational Search

https://bitbucket.org/annavlittle/code_wavelet_invariants

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Wavelet invariants for statistically robust multi-reference alignment

https://bitbucket.org/asarker/qmisspell

공식 코드

An unsupervised and customizable misspelling generator for mining noisy health-related text sources

https://bitbucket.org/chhshen/fasthash

공식 코드

Fast Supervised Hashing with Decision Trees for High-Dimensional Data

https://bitbucket.org/gg42554/cl-sts

공식 코드

A Resource-Light Method for Cross-Lingual Semantic Textual Similarity

https://bitbucket.org/malmy002/phasereg

공식 코드

Phase retrieval via non-rigid image registration

https://bitbucket.org/mawenjing/gpu-fv

공식 코드

GPU-FV: Realtime Fisher Vector and Its Applications in Video Monitoring

https://git.tu-berlin.de/rsim/chnr

공식 코드

An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing

https://git.tu-berlin.de/rsim/image-retrieval-from-triplets

공식 코드

Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval

https://github.com/01bb01/ebaychallenge

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Large-Scale Product Retrieval with Weakly Supervised Representation Learning

https://github.com/0217ljh/QA_System_For_Spectral_Analysis_With_SDAAP_Dataset

공식 코드

A Quick, trustworthy spectral knowledge Q&A system leveraging retrieval-augmented generation on LLM

https://github.com/18907305772/maker

공식 코드

Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog

https://github.com/2282588541a/hirag

공식 코드

Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering

https://github.com/2471023025/ralm_survey

공식 코드

RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

https://github.com/289371298/ceip

공식 코드

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations

https://github.com/2han9x1a0release/RLCC

공식 코드

Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-identification

https://github.com/360cvgroup/fg-clip

공식 코드

FG-CLIP: Fine-Grained Visual and Textual Alignment

https://github.com/3dagentworld/sca3d

공식 코드

SCA3D: Enhancing Cross-modal 3D Retrieval via 3D Shape and Caption Paired Data Augmentation

https://github.com/3dcompat200/3dcompat200

공식 코드

3DCoMPaT200: Language-Grounded Compositional Understanding of Parts and Materials of 3D Shapes

https://github.com/3dlg-hcvc/DuoduoCLIP

공식 코드

Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

https://github.com/3dlg-hcvc/generalizing_shape_retrieval

공식 코드

Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects

https://github.com/47777777/rspell

공식 코드

RSpell: Retrieval-augmented Framework for Domain Adaptive Chinese Spelling Check

https://github.com/4m4n5/CLIP-Lite

공식 코드

CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision

https://github.com/8023looker/datasculpt

공식 코드

DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning

https://github.com/8023looker/med-rr

공식 코드

Med-R$^2$: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based Medicine

https://github.com/A4Bio/OpenCPD

공식 코드

Knowledge-Design: Pushing the Limit of Protein Design via Knowledge Refinement

https://github.com/AAnoosheh/ToDayGAN

공식 코드

Night-to-Day Image Translation for Retrieval-based Localization

https://github.com/ABaldrati/CLIP4Cir

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Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features

https://github.com/ABi-dot/Kedkg

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Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering

https://github.com/ACuOoOoO/SDGMNet

공식 코드

SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning

https://github.com/AGRamirezz/Decoding-Neural-Activity-to-Reconstruct-and-Generate-Music-Stimuli

공식 코드

EEG2Mel: Reconstructing Sound from Brain Responses to Music

https://github.com/AI-Zhpp/HAT

공식 코드

HAT: Hierarchical Aggregation Transformers for Person Re-identification

https://github.com/AI-in-Health/Patient-Instructions

공식 코드

Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine

https://github.com/AI21Labs/Parallel-Context-Windows

공식 코드

Parallel Context Windows for Large Language Models

https://github.com/AI4Finance-Foundation/FinGPT/tree/master/fingpt/FinGPT-RAG

공식 코드

Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models

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