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Retrieval-augmented Generation

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Showing 951–1000 of 2196 papers

TitleStatusHype
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge—0
Claim Verification in the Age of Large Language Models: A Survey—0
FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models—0
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding—0
ClaimTrust: Propagation Trust Scoring for RAG Systems—0
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization—0
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research—0
FIT-RAG: Black-Box RAG with Factual Information and Token Reduction—0
First Token Probability Guided RAG for Telecom Question Answering—0
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction—0
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance—0
FinTextQA: A Dataset for Long-form Financial Question Answering—0
FinSage: A Multi-aspect RAG System for Financial Filings Question Answering—0
FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain—0
Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data—0
ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search—0
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs—0
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models—0
Fine Tuning LLM for Enterprise: Practical Guidelines and Recommendations—0
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences—0
Guiding Generative Storytelling with Knowledge Graphs—0
Agent-centric Information Access—0
Hacking, The Lazy Way: LLM Augmented Pentesting—0
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation—0
Hakim: Farsi Text Embedding Model—0
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools—0
Hallucinations and Truth: A Comprehensive Accuracy Evaluation of RAG, LoRA and DoRA—0
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes—0
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems—0
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Battling Botpoop using GenAI for Higher Education: A Study of a Retrieval Augmented Generation Chatbots Impact on Learning—0
Integrating Knowledge Retrieval and Large Language Models for Clinical Report Correction—0
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation—0
Fine-Grained Retrieval-Augmented Generation for Visual Question Answering—0
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation—0
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond—0
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code—0
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System—0
HEALTH-PARIKSHA: Assessing RAG Models for Health Chatbots in Real-World Multilingual Settings—0
HealthQ: Unveiling Questioning Capabilities of LLM Chains in Healthcare Conversations—0
HeteRAG: A Heterogeneous Retrieval-augmented Generation Framework with Decoupled Knowledge Representations—0
A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science—0
FineFilter: A Fine-grained Noise Filtering Mechanism for Retrieval-Augmented Large Language Models—0
FIND: Fine-grained Information Density Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis—0
Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs—0
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