https://github.com/zerohd4869/PEN4Rec
공식 코드PEN4Rec: Preference Evolution Networks for Session-based Recommendation
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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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/zetaalphavector/inpars
공식 코드InPars: Data Augmentation for Information Retrieval using Large Language Models
https://github.com/zetaalphavector/ragelo
공식 코드Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework
https://github.com/zexuanqiu/hihpq
공식 코드HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval
https://github.com/zgmin/it-rer-absa
공식 코드Instruction Tuning with Retrieval-based Examples Ranking for Aspect-based Sentiment Analysis
https://github.com/zh-zheng/BERT-QE
공식 코드BERT-QE: Contextualized Query Expansion for Document Re-ranking
https://github.com/zhang-yingyi/lsrp
공식 코드LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
https://github.com/zhangbingliang2019/DAPS
공식 코드Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing
https://github.com/zhangbw17/mv-adapter
공식 코드MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval
https://github.com/zhangcyg/u-red
공식 코드U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds
https://github.com/zhangir-azerbayev/proofnet
공식 코드ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
https://github.com/zhangjianzhang/chatgpt4reir_eval
공식 코드Empirical Evaluation of ChatGPT on Requirements Information Retrieval Under Zero-Shot Setting
https://github.com/zhangmozhi/mrs
공식 코드https://github.com/zhangxin1995/PTD
공식 코드Cross-Camera Trajectories Help Person Retrieval in a Camera Network
https://github.com/zhangxu0963/vsl
공식 코드Image-text Retrieval via Preserving Main Semantics of Vision
https://github.com/zhangy0822/user
공식 코드USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text Retrieval
https://github.com/zhangyifei01/EIR
공식 코드Exploring Instance Relations for Unsupervised Feature Embedding
https://github.com/zhangyuanhan-ai/visual_prompt_retrieval
공식 코드https://github.com/zhanhl316/flowchart-dialogue-with-da
공식 코드https://github.com/zhanxlin/product1m
공식 코드Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-modal Pretraining
https://github.com/zhanyang-nwpu/rsvg-pytorch
공식 코드RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data
https://github.com/zhao-zy15/pmc-patients
공식 코드https://github.com/zhaojw1998/accomontage-3
공식 코드Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling
https://github.com/zhaoyanpeng/vipant
공식 코드Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer
https://github.com/zhaozh10/ChatCAD
공식 코드ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMs
https://github.com/zhegan27/LXMERT-AdvTrain
공식 코드Large-Scale Adversarial Training for Vision-and-Language Representation Learning
https://github.com/zhegan27/VILLA
공식 코드Large-Scale Adversarial Training for Vision-and-Language Representation Learning
https://github.com/zhenduow/conversationalQA
공식 코드Controlling the Risk of Conversational Search via Reinforcement Learning
https://github.com/zhengxxn/adaptive-knn-mt
공식 코드https://github.com/zhengxxn/uda-knn
공식 코드Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
https://github.com/zhengyima/anchors
공식 코드Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need
https://github.com/zhengzhongpku/ipl-code-share
공식 코드A New Inexact Proximal Linear Algorithm with Adaptive Stopping Criteria for Robust Phase Retrieval
https://github.com/zhentingqi/rag-privacy
공식 코드https://github.com/zhichao-aws/opensearch-sparse-model-tuning-sample
공식 코드Exploring $\ell_0$ Sparsification for Inference-free Sparse Retrievers
https://github.com/zhichaoxu-shufe/constrained-qfs
공식 코드A Lightweight Constrained Generation Alternative for Query-focused Summarization
https://github.com/zhichaoxu-shufe/context-aware-decoding-qfs
공식 코드Context-aware Decoding Reduces Hallucination in Query-focused Summarization
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.