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Retrieval-augmented Generation

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Showing 1701–1725 of 2196 papers

TitleStatusHype
Poisoned LangChain: Jailbreak LLMs by LangChain—0
Multi-step Inference over Unstructured Data—0
RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems—0
Software Model Evolution with Large Language Models: Experiments on Simulated, Public, and Industrial DatasetsCode0
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QACode2
Panza: Design and Analysis of a Fully-Local Personalized Text Writing AssistantCode3
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis GenerationCode1
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models—0
Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis—0
Context-augmented Retrieval: A Novel Framework for Fast Information Retrieval based Response Generation using Large Language Model—0
Ragnarök: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation TrackCode1
Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization—0
FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language ModelsCode0
Pistis-RAG: Enhancing Retrieval-Augmented Generation with Human Feedback—0
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM GenerationCode0
Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering—0
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document AnalysisCode1
Integrating Knowledge Retrieval and Large Language Models for Clinical Report Correction—0
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG SystemsCode0
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs—0
Towards Retrieval Augmented Generation over Large Video Libraries—0
Evaluating RAG-Fusion with RAGElo: an Automated Elo-based FrameworkCode2
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization—0
Relation Extraction with Fine-Tuned Large Language Models in Retrieval Augmented Generation Frameworks—0
CodeRAG-Bench: Can Retrieval Augment Code Generation?Code2
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