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Retrieval-augmented Generation

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Showing 2001–2025 of 2196 papers

TitleStatusHype
iRAG: Advancing RAG for Videos with an Incremental Approach—0
Exploring the landscape of large language models: Foundations, techniques, and challenges—0
RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation—0
A Survey on Retrieval-Augmented Text Generation for Large Language Models—0
Position Engineering: Boosting Large Language Models through Positional Information Manipulation—0
Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study—0
Generative AI Agents with Large Language Model for Satellite Networks via a Mixture of Experts Transmission—0
Cross-Data Knowledge Graph Construction for LLM-enabled Educational Question-Answering System: A Case Study at HCMUT—0
Introducing Super RAGs in Mistral 8x7B-v1—0
Generative AI Agent for Next-Generation MIMO Design: Fundamentals, Challenges, and Vision—0
Reducing hallucination in structured outputs via Retrieval-Augmented Generation—0
Generative Information Retrieval Evaluation—0
LLMs in Biomedicine: A study on clinical Named Entity RecognitionCode0
Towards Robustness of Text-to-Visualization Translation against Lexical and Phrasal Variability—0
Onco-Retriever: Generative Classifier for Retrieval of EHR Records in Oncology—0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models—0
MedExpQA: Multilingual Benchmarking of Large Language Models for Medical Question Answering—0
IITK at SemEval-2024 Task 2: Exploring the Capabilities of LLMs for Safe Biomedical Natural Language Inference for Clinical TrialsCode0
A Comparison of Methods for Evaluating Generative IRCode0
Assisting humans in complex comparisons: automated information comparison at scale—0
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models—0
uTeBC-NLP at SemEval-2024 Task 9: Can LLMs be Lateral Thinkers?Code0
Concept-Guided LLM Agents for Human-AI Safety Codesign—0
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized ContextsCode0
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