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Retrieval-augmented Generation

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Showing 1526–1550 of 2196 papers

TitleStatusHype
REFINE on Scarce Data: Retrieval Enhancement through Fine-Tuning via Model Fusion of Embedding Models—0
Is Semantic Chunking Worth the Computational Cost?—0
Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models—0
On the Capacity of Citation Generation by Large Language Models—0
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAGCode0
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented GenerationCode0
ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability—0
Holistic Reasoning with Long-Context LMs: A Benchmark for Database Operations on Massive Textual Data—0
Self-adaptive Multimodal Retrieval-Augmented GenerationCode0
AIC CTU system at AVeriTeC: Re-framing automated fact-checking as a simple RAG taskCode0
Retrieval Augmented Spelling Correction for E-Commerce Applications—0
Synthetic Interlocutors. Experiments with Generative AI to Prolong Ethnographic Encounters—0
De-jargonizing Science for Journalists with GPT-4: A Pilot StudyCode0
TestAgent: A Framework for Domain-Adaptive Evaluation of LLMs via Dynamic Benchmark Construction and Exploratory Interaction—0
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG—0
Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversations—0
Can Structured Data Reduce Epistemic Uncertainty?—0
Model-based Large Language Model Customization as Service—0
Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning—0
Enhancing Retrieval-Augmented Audio Captioning with Generation-Assisted Multimodal Querying and Progressive Learning—0
STACKFEED: Structured Textual Actor-Critic Knowledge Base Editing with FeedBack—0
Retrieval Instead of Fine-tuning: A Retrieval-based Parameter Ensemble for Zero-shot Learning—0
Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG—0
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization—0
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language ModelsCode0
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