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Retrieval-augmented Generation

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Showing 2151–2196 of 2196 papers

TitleStatusHype
GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction ExplorationCode0
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph DatabasesCode0
RALLRec+: Retrieval Augmented Large Language Model Recommendation with ReasoningCode0
CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity EducationCode0
GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing UnitsCode0
GRAMMAR: Grounded and Modular Methodology for Assessment of Closed-Domain Retrieval-Augmented Language ModelCode0
Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QACode0
Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced ClaimsCode0
Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature SummarizationCode0
RAPID: Retrieval Augmented Training of Differentially Private Diffusion ModelsCode0
GRADA: Graph-based Reranker against Adversarial Documents AttackCode0
RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation SystemsCode0
Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image GenerationCode0
GINGER: Grounded Information Nugget-Based Generation of ResponsesCode0
Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language ModelsCode0
Generative AI Enhanced Financial Risk Management Information RetrievalCode0
RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture UnderstandingCode0
Should RAG Chatbots Forget Unimportant Conversations? Exploring Importance and Forgetting with Psychological InsightsCode0
FutureGen: LLM-RAG Approach to Generate the Future Work of Scientific ArticleCode0
Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for DialogueCode0
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAGCode0
Corpus Poisoning via Approximate Greedy Gradient DescentCode0
README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLPCode0
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance LabelingCode0
CORE: A Retrieve-then-Edit Framework for Counterfactual Data GenerationCode0
Conversational Gold: Evaluating Personalized Conversational Search System using Gold NuggetsCode0
REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language ModelsCode0
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting FrameworkCode0
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical StudyCode0
Wikipedia in the Era of LLMs: Evolution and RisksCode0
REANIMATOR: Reanimate Retrieval Test Collections with Extracted and Synthetic ResourcesCode0
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model GeneralizationCode0
FS-RAG: A Frame Semantics Based Approach for Improved Factual Accuracy in Large Language ModelsCode0
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language ModelsCode0
Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practiceCode0
From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language QueriesCode0
ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application AnalysisCode0
Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with FeedbackCode0
Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry ChallengesCode0
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation SystemsCode0
Toward Optimal Search and Retrieval for RAGCode0
Reconstructing Context: Evaluating Advanced Chunking Strategies for Retrieval-Augmented GenerationCode0
Are Large Language Models Good at Utility Judgments?Code0
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language ModelsCode0
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language ModelsCode0
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