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Retrieval-augmented Generation

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Showing 976–1000 of 2196 papers

TitleStatusHype
Improving RAG Retrieval via Propositional Content Extraction: a Speech Act Theory Approach—0
Leveraging Approximate Caching for Faster Retrieval-Augmented Generation—0
FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance—0
Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational HistoryCode0
TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator—0
Personalized Text Generation with Contrastive Activation Steering—0
ORANSight-2.0: Foundational LLMs for O-RAN—0
Automatic Teaching Platform on Vision Language Retrieval Augmented Generation—0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster—0
Collapse of Dense Retrievers: Short, Early, and Literal Biases Outranking Factual Evidence—0
In-depth Analysis of Graph-based RAG in a Unified Framework—0
Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning—0
LeRAAT: LLM-Enabled Real-Time Aviation Advisory ToolCode0
OkraLong: A Flexible Retrieval-Augmented Framework for Long-Text Query Processing—0
Optimizing open-domain question answering with graph-based retrieval augmented generation—0
Wikipedia in the Era of LLMs: Evolution and RisksCode0
RAAD-LLM: Adaptive Anomaly Detection Using LLMs and RAG Integration—0
PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset—0
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation—0
Generate, Discriminate, Evolve: Enhancing Context Faithfulness via Fine-Grained Sentence-Level Self-Evolution—0
Explainable Depression Detection in Clinical Interviews with Personalized Retrieval-Augmented Generation—0
SRAG: Structured Retrieval-Augmented Generation for Multi-Entity Question Answering over Wikipedia Graph—0
SAGE: A Framework of Precise Retrieval for RAG—0
ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources—0
Optimizing Multi-Hop Document Retrieval Through Intermediate Representations—0
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