Papers with Code 아카이브
Semantic Retrieval
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation
MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query
Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis
Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking
HDLxGraph: Bridging Large Language Models and HDL Repositories via HDL Graph Databases
Optimizing Retrieval Augmented Generation for Object Constraint Language
Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion
An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education
RAG-MCP: Mitigating Prompt Bloat in LLM Tool Selection via Retrieval-Augmented Generation
Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training
Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
Role of Databases in GenAI Applications
Toward Agentic AI: Generative Information Retrieval Inspired Intelligent Communications and Networking
GNN-Coder: Boosting Semantic Code Retrieval with Combined GNNs and Transformer
AnDB: Breaking Boundaries with an AI-Native Database for Universal Semantic Analysis
Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions
Multimodal semantic retrieval for product search
SCBench: A KV Cache-Centric Analysis of Long-Context Methods
1-800-SHARED-TASKS at RegNLP: Lexical Reranking of Semantic Retrieval (LeSeR) for Regulatory Question Answering
Semantic Retrieval at Walmart
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset
Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models
PAR: Prompt-Aware Token Reduction Method for Efficient Large Multimodal Models
How to Make LLMs Strong Node Classifiers?
LLM Agents as 6G Orchestrator: A Paradigm for Task-Oriented Physical-Layer Automation
Learning Spatially-Aware Language and Audio Embeddings
Enhancing Relevance of Embedding-based Retrieval at Walmart
APTNESS: Incorporating Appraisal Theory and Emotion Support Strategies for Empathetic Response Generation
GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval
UQE: A Query Engine for Unstructured Databases
MINERS: Multilingual Language Models as Semantic Retrievers
Renal digital pathology visual knowledge search platform based on language large model and book knowledge
Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval
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