https://github.com/yanzhen4/logicol
공식 코드LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval
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/yaochenzhu/crag
공식 코드Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
https://github.com/yaohungt/Pointwise_Dependency_Neural_Estimation
공식 코드https://github.com/yaolinli/capenrich
공식 코드CapEnrich: Enriching Caption Semantics for Web Images via Cross-modal Pre-trained Knowledge
https://github.com/yarotsky/voxelfeatures
공식 코드https://github.com/yasdel/llm-recsys
공식 코드A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
https://github.com/yash0307/RecallatK_surrogate
공식 코드Recall@k Surrogate Loss with Large Batches and Similarity Mixup
https://github.com/yash0307/recallatk
공식 코드Recall@k Surrogate Loss with Large Batches and Similarity Mixup
https://github.com/yasminekaroui/clicotea
공식 코드Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages
https://github.com/yaushian/msimcse
공식 코드English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings
https://github.com/ybai-nlp/CItruS
공식 코드CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling
https://github.com/ydwen/opensphere/blob/main/opensphere/module/head/simple.py
공식 코드https://github.com/yefd/RRAG
공식 코드R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
https://github.com/yehli/xmodaler
공식 코드X-modaler: A Versatile and High-performance Codebase for Cross-modal Analytics
https://github.com/yejy53/ep-bev
공식 코드Cross-view image geo-localization with Panorama-BEV Co-Retrieval Network
https://github.com/yeliu918/QREFINE-PPO
공식 코드Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
https://github.com/yeliu918/dhr
공식 코드Dense Hierarchical Retrieval for Open-Domain Question Answering
https://github.com/yeongjoonju/mire
공식 코드https://github.com/yeonseokjeong/judge-specialist
공식 코드https://github.com/yeonsw/LOUVRE
공식 코드https://github.com/yeonsw/squid
공식 코드https://github.com/yetigurbuz/ccp-dml
공식 코드https://github.com/yewzz/EAGER
공식 코드EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
https://github.com/yeziyi1998/uercm
공식 코드Towards a Better Understanding Human Reading Comprehension with Brain Signals
https://github.com/yfyuan01/ravenea
공식 코드RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding
https://github.com/ygcinar/SmoothI
공식 코드SmoothI: Smooth Rank Indicators for Differentiable IR Metrics
https://github.com/ygjin11/task-hypernet
공식 코드Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
https://github.com/yhlleo/RG-UNIT
공식 코드Retrieval Guided Unsupervised Multi-domain Image-to-Image Translation
https://github.com/yhoshi3/ralle
공식 코드RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
https://github.com/yhpeter/awesome-rag-evaluation
공식 코드https://github.com/yibin-lei/csqe
공식 코드https://github.com/yibin-lei/recontriever
공식 코드Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
https://github.com/yifan-gao/multilingual_keyphrase_generation
공식 코드Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training
https://github.com/yifan-gao/open_retrieval_conversational_machine_reading
공식 코드https://github.com/yifanliu2/roegen-recsys-24-eqr
공식 코드https://github.com/yifeizhou02/bt-2
공식 코드$BT^2$: Backward-compatible Training with Basis Transformation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.