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Retrieval-augmented Generation

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Showing 951–975 of 2196 papers

TitleStatusHype
Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge—0
First Token Probability Guided RAG for Telecom Question Answering—0
CiteFix: Enhancing RAG Accuracy Through Post-Processing Citation Correction—0
GraphInsight: Unlocking Insights in Large Language Models for Graph Structure Understanding—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
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
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation—0
A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences—0
Graphy'our Data: Towards End-to-End Modeling, Exploring and Generating Report from Raw Data—0
Agent-centric Information Access—0
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation—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
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation—0
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together—0
Grounding Large Language Models In Embodied Environment With Imperfect World Models—0
A review of faithfulness metrics for hallucination assessment in Large Language Models—0
Guiding Generative Storytelling with Knowledge Graphs—0
Fine-Grained Retrieval-Augmented Generation for Visual Question Answering—0
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