https://github.com/netflix/clove
공식 코드CLoVe: Encoding Compositional Language in Contrastive Vision-Language Models
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/netop-team/telco-rag
공식 코드Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications
https://github.com/neuir/conae
공식 코드Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
https://github.com/neuir/llm-qe
공식 코드LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences
https://github.com/neuir/m2rag
공식 코드Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
https://github.com/neuir/rankcot
공식 코드RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
https://github.com/neulab/external-knowledge-codegen
공식 코드Incorporating External Knowledge through Pre-training for Natural Language to Code Generation
https://github.com/neulab/knn-transformers
공식 코드Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
https://github.com/neulab/prompt2model
공식 코드Prompt2Model: Generating Deployable Models from Natural Language Instructions
https://github.com/neulab/ragged
공식 코드RAGGED: Towards Informed Design of Retrieval Augmented Generation Systems
https://github.com/neulab/retomaton
공식 코드Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
https://github.com/neuralgraphdatabases/awesome-logical-query
공식 코드Neural Graph Reasoning: Complex Logical Query Answering Meets Graph Databases
https://github.com/neuralmind-ai/coliee
공식 코드https://github.com/neuromorphiccomputing/stpn
공식 코드https://github.com/newpro/aloha-chatbot
공식 코드ALOHA: Artificial Learning of Human Attributes for Dialogue Agents
https://github.com/newsstoriesdata/newsstories.github.io
공식 코드https://github.com/nguyen2015/captain-coliee2023
공식 코드CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks
https://github.com/nhattlm95/tm_kg_dialogue
공식 코드Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
https://github.com/nianqi-li/historical-analogy-of-llms
공식 코드Past Meets Present: Creating Historical Analogy with Large Language Models
https://github.com/niansong1996/retrieval_marginalization
공식 코드https://github.com/niccobiondi/contrastivesuperviseddistillation
공식 코드Contrastive Supervised Distillation for Continual Representation Learning
https://github.com/nicerwang/joint-gcg
공식 코드Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems
https://github.com/nick-zheng-q/hdlxgraph
공식 코드HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases
https://github.com/nick7nlp/counting-stars
공식 코드https://github.com/nickhaidos/scenir-icml2025
공식 코드SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval
https://github.com/nickvosk/ictir2021-news-retrieval-in-context
공식 코드News Article Retrieval in Context for Event-centric Narrative Creation
https://github.com/nickvosk/sigir2020-query-resolution
공식 코드Query Resolution for Conversational Search with Limited Supervision
https://github.com/nicpopovic/ember
공식 코드https://github.com/nicpopovic/stoke
공식 코드https://github.com/night-chen/resel
공식 코드ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
https://github.com/nightdessert/retrieval_head
공식 코드Retrieval Head Mechanistically Explains Long-Context Factuality
https://github.com/nightingal3/idiom-translation
공식 코드https://github.com/nikhilsab/h-star
공식 코드H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on Tables
https://github.com/nikkiwoo-gh/ITV
공식 코드https://github.com/nikolajreiser/poissonphasediversity
공식 코드Phase Diverse Phase Retrieval for Microscopy: Comparison of Gaussian and Poisson Approaches
https://github.com/nikolamilosevic86/Marvin
공식 코드Marvin: Semantic annotation using multiple knowledge sources
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.