https://github.com/zjukg/conferenceqa
공식 코드Reliable Academic Conference Question Answering: A Study Based on Large Language Model
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/zjukg/lpkg
공식 코드Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs
https://github.com/zjukg/trustuqa
공식 코드TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
https://github.com/zjuluolun/bevplace
공식 코드BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images
https://github.com/zjunlp/MKGformer
공식 코드Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
https://github.com/zjunlp/PromptKG/tree/main/research/RetrievalRE
공식 코드Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning
https://github.com/zjunlp/PromptKG/tree/main/research/RetroPrompt
공식 코드Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
https://github.com/zjunlp/RAP
공식 코드Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction
https://github.com/zjunlp/easyedit
공식 코드WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models
https://github.com/zjunlp/onegen
공식 코드OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs
https://github.com/zjunlp/promptkg
공식 코드Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning
https://github.com/zkx06111/rediffusion
공식 코드ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
https://github.com/zmzhang2000/hybrank
공식 코드https://github.com/zmzhang2000/trustworthy-alignment
공식 코드Trustworthy Alignment of Retrieval-Augmented Large Language Models via Reinforcement Learning
https://github.com/znhy1024/justilm
공식 코드JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world Claims
https://github.com/zoeyou/autotaxo
공식 코드Technological taxonomies for hypernym and hyponym retrieval in patent texts
https://github.com/zoeyyes/confact
공식 코드Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMs
https://github.com/zomss/co-prompt
공식 코드Discrete Prompt Optimization via Constrained Generation for Zero-shot Re-ranker
https://github.com/zoranmedic/mdcr
공식 코드Large-scale Evaluation of Transformer-based Article Encoders on the Task of Citation Recommendation
https://github.com/zorazrw/filco
공식 코드Learning to Filter Context for Retrieval-Augmented Generation
https://github.com/zorazrw/nqt-retrieval
공식 코드Table Retrieval May Not Necessitate Table-specific Model Design
https://github.com/zou-group/avatar
공식 코드AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
https://github.com/zouchuhang/3D-PRNN
공식 코드3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
https://github.com/zouharvi/kb-shrink
공식 코드Knowledge Base Index Compression via Dimensionality and Precision Reduction
https://github.com/zouharvi/pwesuite
공식 코드PWESuite: Phonetic Word Embeddings and Tasks They Facilitate
https://github.com/zpfhnu/artiststyle18
공식 코드FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions
https://github.com/zplusdragon/ufinebench
공식 코드UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
https://github.com/zsffq999/SCDH
공식 코드https://github.com/zswvivi/ecml_pqa
공식 코드Less is More: Rejecting Unreliable Reviews for Product Question Answering
https://github.com/zthang/focus
공식 코드Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus
https://github.com/zty0304/sgdraw
공식 코드SGDraw: Scene Graph Drawing Interface Using Object-Oriented Representation
https://github.com/zugexiaodui/twostreamuvad
공식 코드Context Recovery and Knowledge Retrieval: A Novel Two-Stream Framework for Video Anomaly Detection
https://github.com/zuochao912/legalsearchsum
공식 코드Boosting legal case retrieval by query content selection with large language models
https://github.com/zuucan/needleinahaystack-plus
공식 코드LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
https://github.com/zwc662/hyqe
공식 코드https://github.com/zwh-sdu/excluir
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.