https://github.com/AISDC/CookieNetAE
공식 코드Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval
Papers with Code 아카이브
Retrieval
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/AISDC/DNNTrainerFlow
공식 코드Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval
https://github.com/AKSW/AGDISTIS
공식 코드MAG: A Multilingual, Knowledge-base Agnostic and Deterministic Entity Linking Approach
https://github.com/AMAAI-Lab/megamusicaps
공식 코드MIRFLEX: Music Information Retrieval Feature Library for Extraction
https://github.com/ATILF-UMR7118/pRAGe
공식 코드https://github.com/AaltoVision/Object-Retrieval
공식 코드Context Aware Query Image Representation for Particular Object Retrieval
https://github.com/Aatrox103/CrAM
공식 코드CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
https://github.com/Abhiram4572/mi_bart
공식 코드Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering
https://github.com/AceSix/Knowledge_Transfer
공식 코드https://github.com/AdeDZY/DeepCT
공식 코드Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval
https://github.com/AdeDZY/SIGIR19-BERT-IR
공식 코드Deeper Text Understanding for IR with Contextual Neural Language Modeling
https://github.com/Agentic-Learning-AI-Lab/lifelong-memory
공식 코드LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos
https://github.com/AhmedHussKhalifa/Dense_Passage_Retrieval_in_Conversational_Search
공식 코드https://github.com/Ahren09/CODER
공식 코드https://github.com/AkariAsai/CORA
공식 코드One Question Answering Model for Many Languages with Cross-lingual Dense Passage Retrieval
https://github.com/AkariAsai/XORQA
공식 코드https://github.com/AkariAsai/learning_to_retrieve_reasoning_paths
공식 코드Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
https://github.com/AkariAsai/self-rag
공식 코드Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
https://github.com/AkonLau/LTC
공식 코드Improving Deep Representation Learning via Auxiliary Learnable Target Coding
https://github.com/AkshatMittu/Precedent-Analysis
공식 코드https://github.com/Alab-NII/2wikimultihop
공식 코드https://github.com/Albert-Ma/PROP
공식 코드PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
https://github.com/AlexBlck/compsketch
공식 코드https://github.com/AlexJonesNLP/alt-bitexts
공식 코드Majority Voting with Bidirectional Pre-translation For Bitext Retrieval
https://github.com/AlexMoreo/learning-to-weight
공식 코드https://github.com/Alexgichamba/itu_qna_challenge
공식 코드ColBERT Retrieval and Ensemble Response Scoring for Language Model Question Answering
https://github.com/AlfredClemedtson/graphraft
공식 코드GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases
https://github.com/Ali-Forootani/multi_llm
공식 코드Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education
https://github.com/Alibaba-MIIL/ZS_SDL
공식 코드Semantic Diversity Learning for Zero-Shot Multi-label Classification
https://github.com/Alibaba-NLP/CHRONOS
공식 코드Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization
https://github.com/Alibaba-NLP/CoFE-RAG
공식 코드https://github.com/Alibaba-NLP/HLATR
공식 코드HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking
https://github.com/Alibaba-NLP/ViDoRAG
공식 코드ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/pace
공식 코드PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
https://github.com/AmeyHengle/multilingual-long-context-reasoning
공식 코드https://github.com/AmeyHengle/multilingual-needle-in-a-haystack
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.