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Retrieval-augmented Generation

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Showing 1101–1150 of 2196 papers

TitleStatusHype
A Survey on Knowledge-Oriented Retrieval-Augmented Generation—0
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models—0
A Survey on Retrieval-Augmented Text Generation—0
A Survey on Retrieval-Augmented Text Generation for Large Language Models—0
A Systematic Evaluation of LLM Strategies for Mental Health Text Analysis: Fine-tuning vs. Prompt Engineering vs. RAG—0
How Does Knowledge Selection Help Retrieval Augmented Generation?—0
Athena: Retrieval-augmented Legal Judgment Prediction with Large Language Models—0
AttackQA: Development and Adoption of a Dataset for Assisting Cybersecurity Operations using Fine-tuned and Open-Source LLMs—0
Attention in Large Language Models Yields Efficient Zero-Shot Re-Rankers—0
AttentionRAG: Attention-Guided Context Pruning in Retrieval-Augmented Generation—0
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation—0
Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation—0
Enhancing Retrieval-Augmented Audio Captioning with Generation-Assisted Multimodal Querying and Progressive Learning—0
AuditNet: A Conversational AI-based Security Assistant [DEMO]—0
Augmenting Textual Generation via Topology Aware Retrieval—0
Auto-GDA: Automatic Domain Adaptation for Efficient Grounding Verification in Retrieval Augmented Generation—0
Automated C/C++ Program Repair for High-Level Synthesis via Large Language Models—0
Automated Code Generation and Validation for Software Components of Microcontrollers—0
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information—0
Automated Conversion of Static to Dynamic Scheduler via Natural Language—0
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution—0
Automated Literature Review Using NLP Techniques and LLM-Based Retrieval-Augmented Generation—0
Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search—0
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
Automatic Large Language Models Creation of Interactive Learning Lessons—0
Automatic Teaching Platform on Vision Language Retrieval Augmented Generation—0
Automating Bibliometric Analysis with Sentence Transformers and Retrieval-Augmented Generation (RAG): A Pilot Study in Semantic and Contextual Search for Customized Literature Characterization for High-Impact Urban Research—0
Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation—0
Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization Agent—0
AutoPsyC: Automatic Recognition of Psychodynamic Conflicts from Semi-structured Interviews with Large Language Models—0
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation—0
AutoStyle-TTS: Retrieval-Augmented Generation based Automatic Style Matching Text-to-Speech Synthesis—0
AutoVCoder: A Systematic Framework for Automated Verilog Code Generation using LLMs—0
AviationLLM: An LLM-based Knowledge System for Aviation Training—0
A Visual RAG Pipeline for Few-Shot Fine-Grained Product Classification—0
Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models—0
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models—0
BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text—0
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications—0
Balancing Content Size in RAG-Text2SQL System—0
Bayesian inference to improve quality of Retrieval Augmented Generation—0
Benchmarking Biopharmaceuticals Retrieval-Augmented Generation Evaluation—0
Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture—0
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation—0
Benchmarking Retrieval-Augmented Generation for Chemistry—0
Beyond Extraction: Contextualising Tabular Data for Efficient Summarisation by Language Models—0
Beyond-RAG: Question Identification and Answer Generation in Real-Time Conversations—0
Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning—0
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering—0
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation—0
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