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Retrieval-augmented Generation

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Showing 1751–1800 of 2196 papers

TitleStatusHype
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG—0
Evaluating the Efficacy of Open-Source LLMs in Enterprise-Specific RAG Systems: A Comparative Study of Performance and ScalabilityCode0
Language Modeling with Editable External KnowledgeCode1
Refiner: Restructure Retrieval Content Efficiently to Advance Question-Answering CapabilitiesCode0
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models—0
TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented GenerationCode1
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
Current state of LLM Risks and AI Guardrails—0
Automating Pharmacovigilance Evidence Generation: Using Large Language Models to Produce Context-Aware SQL—0
ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate DisclosuresCode0
HIRO: Hierarchical Information Retrieval OptimizationCode0
BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-HaystackCode9
Action2Sound: Ambient-Aware Generation of Action Sounds from Egocentric Videos—0
Ad Auctions for LLMs via Retrieval Augmented Generation—0
Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning—0
Blowfish: Topological and statistical signatures for quantifying ambiguity in semantic search—0
Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis—0
Scholarly Question Answering using Large Language Models in the NFDI4DataScience GatewayCode0
RS-Agent: Automating Remote Sensing Tasks through Intelligent AgentCode2
DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering—0
TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs—0
The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMs—0
Evaluating the Retrieval Component in LLM-Based Question Answering Systems—0
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for DialogueCode0
Enhancing Long-Term Memory using Hierarchical Aggregate Tree for Retrieval Augmented Generation—0
DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented GenerationCode1
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented GenerationCode0
Machine Against the RAG: Jamming Retrieval-Augmented Generation with Blocker Documents—0
Corpus Poisoning via Approximate Greedy Gradient DescentCode0
CRAG -- Comprehensive RAG BenchmarkCode3
Multi-Head RAG: Solving Multi-Aspect Problems with LLMsCode3
A + B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential—0
End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction—0
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts—0
Chain of Agents: Large Language Models Collaborating on Long-Context Tasks—0
RATT: A Thought Structure for Coherent and Correct LLM ReasoningCode1
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context UnderstandingCode0
Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning Compressor—0
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models—0
Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination—0
Natural Language Interaction with a Household Electricity Knowledge-based Digital Twin—0
Graph Neural Network Enhanced Retrieval for Question Answering of LLMs—0
SoccerRAG: Multimodal Soccer Information Retrieval via Natural QueriesCode0
Demo: Soccer Information Retrieval via Natural Queries using SoccerRAGCode0
Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs—0
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models—0
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented GenerationCode1
A Theory for Token-Level Harmonization in Retrieval-Augmented Generation—0
Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study—0
COS-Mix: Cosine Similarity and Distance Fusion for Improved Information RetrievalCode4
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