https://github.com/SeqDM/Efficient-Embeddings
공식 코드Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe
Papers with Code 아카이브
Retrieval
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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/SerhadS/TechNet
공식 코드https://github.com/Sha-Lab/CMHSE
공식 코드https://github.com/ShampooWang/SpeechCLIP_plus
공식 코드https://github.com/ShayekhBinIslam/openrag
공식 코드Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models
https://github.com/ShishirPatil/gorilla
공식 코드https://github.com/ShootingWong/DomainRAG
공식 코드DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
https://github.com/ShuaiBai623/AIC2021-T5-CLV
공식 코드Connecting Language and Vision for Natural Language-Based Vehicle Retrieval
https://github.com/ShuhongChen/bizarre-pose-estimator
공식 코드Transfer Learning for Pose Estimation of Illustrated Characters
https://github.com/Shuyu-XJTU/APTM
공식 코드https://github.com/Sid2697/Word-recognition-and-retrieval
공식 코드Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval
https://github.com/Siddharth-Gandhi/ds
공식 코드https://github.com/SimonLupart/disco-conv-splade
공식 코드DiSCo: LLM Knowledge Distillation for Efficient Sparse Retrieval in Conversational Search
https://github.com/Simula-UiB/GAUP_TIFS22
공식 코드Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval
https://github.com/SinghKaranbir/BiasAwareAgent
공식 코드Bias-Aware Agent: Enhancing Fairness in AI-Driven Knowledge Retrieval
https://github.com/SkBlaz/rakun
공식 코드RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation
https://github.com/SketchyScene/SketchyScene
공식 코드https://github.com/Social-Futures-Lab/SPICA-code
공식 코드SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment
https://github.com/SonalPrabhune/RAG
공식 코드Deploying Large Language Models With Retrieval Augmented Generation
https://github.com/SonyCSLParis/cae-invar
공식 코드Learning Complex Basis Functions for Invariant Representations of Audio
https://github.com/SouravDutta91/map-low-resource-embeddings
공식 코드Mapping Supervised Bilingual Word Embeddings from English to low-resource languages
https://github.com/SparkJiao/retrieval-based-mrc-pretraining
공식 코드REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training
https://github.com/Sprakbanken/CHR24-image-retrieval
공식 코드https://github.com/StevenHickson/VideoObjectProposals
공식 코드Object category learning and retrieval with weak supervision
https://github.com/StibiumT16/Robust-Fine-tuning
공식 코드RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
https://github.com/Strong-AI-Lab/ct-vae
공식 코드Disentanglement of Latent Representations via Causal Interventions
https://github.com/SunnyCYC/aug4mss
공식 코드Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
https://github.com/SuperSupermoon/MedViLL
공식 코드https://github.com/TAMU-VITA/ABD-Net
공식 코드https://github.com/THU-KEG/AtomR
공식 코드AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning
https://github.com/THUDM/CogKR
공식 코드Cognitive Knowledge Graph Reasoning for One-shot Relational Learning
https://github.com/TIBHannover/iart
공식 코드iART: A Search Engine for Art-Historical Images to Support Research in the Humanities
https://github.com/TIGER-AI-Lab/LLM-AMT
공식 코드https://github.com/TPCD/DG-VAE
공식 코드https://github.com/TRUMANCFY/MixGR
공식 코드https://github.com/TXH-mercury/VALOR
공식 코드VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.