-
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark
Paper • 2504.10568 • Published -
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
Paper • 2505.12207 • Published -
AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials
Paper • 2506.11740 • Published
Collections
Discover the best community collections!
Collections including paper arxiv:2401.08406
-
The Power of Transfer Learning in Agricultural Applications: AgriNet
Paper • 2207.03881 • Published • 1 -
Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS
Paper • 2107.02355 • Published -
Farmer.Chat: Scaling AI-Powered Agricultural Services for Smallholder Farmers
Paper • 2409.08916 • Published • 4 -
YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain
Paper • 2406.10139 • Published
-
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 4
-
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
Paper • 2408.04259 • Published • 1 -
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Paper • 2408.04948 • Published • 1 -
Graph Retrieval-Augmented Generation: A Survey
Paper • 2408.08921 • Published • 4 -
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 143
-
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 4
-
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
AgMMU: A Comprehensive Agricultural Multimodal Understanding and Reasoning Benchmark
Paper • 2504.10568 • Published -
Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
Paper • 2505.12207 • Published -
AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials
Paper • 2506.11740 • Published
-
The Power of Transfer Learning in Agricultural Applications: AgriNet
Paper • 2207.03881 • Published • 1 -
Total Nitrogen Estimation in Agricultural Soils via Aerial Multispectral Imaging and LIBS
Paper • 2107.02355 • Published -
Farmer.Chat: Scaling AI-Powered Agricultural Services for Smallholder Farmers
Paper • 2409.08916 • Published • 4 -
YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain
Paper • 2406.10139 • Published
-
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
Paper • 2408.04259 • Published • 1 -
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Paper • 2408.04948 • Published • 1 -
Graph Retrieval-Augmented Generation: A Survey
Paper • 2408.08921 • Published • 4 -
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 143
-
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 4
-
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 4