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Retrieval-augmented Generation

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TitleStatusHype
Benchmarking Multimodal Knowledge Conflict for Large Multimodal ModelsCode1
syftr: Pareto-Optimal Generative AICode3
KnowTrace: Bootstrapping Iterative Retrieval-Augmented Generation with Structured Knowledge TracingCode1
HomeBench: Evaluating LLMs in Smart Homes with Valid and Invalid Instructions Across Single and Multiple DevicesCode0
Visualized Text-to-Image RetrievalCode1
It's High Time: A Survey of Temporal Information Retrieval and Question Answering—0
NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question AnsweringCode1
MA-RAG: Multi-Agent Retrieval-Augmented Generation via Collaborative Chain-of-Thought Reasoning—0
DGRAG: Distributed Graph-based Retrieval-Augmented Generation in Edge-Cloud Systems—0
LLM-Agent-Controller: A Universal Multi-Agent Large Language Model System as a Control Engineer—0
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style—0
RankLLM: A Python Package for Reranking with LLMs—0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
POQD: Performance-Oriented Query Decomposer for Multi-vector retrievalCode1
Retrieval-Augmented Generation for Service Discovery: Chunking Strategies and Benchmarking—0
Vision Meets Language: A RAG-Augmented YOLOv8 Framework for Coffee Disease Diagnosis and Farmer AssistanceCode0
Towards Emotionally Consistent Text-Based Speech Editing: Introducing EmoCorrector and The ECD-TSE DatasetCode0
Retrieval Augmented Decision-Making: A Requirements-Driven, Multi-Criteria Framework for Structured Decision Support—0
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems—0
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal SynthesisCode1
LLMs for Supply Chain Management—0
Federated Retrieval-Augmented Generation: A Systematic Mapping Study—0
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation—0
A Survey of LLM DATACode4
BRIT: Bidirectional Retrieval over Unified Image-Text Graph—0
Removal of Hallucination on Hallucination: Debate-Augmented RAGCode1
FinRAGBench-V: A Benchmark for Multimodal RAG with Visual Citation in the Financial Domain—0
Resolving Conflicting Evidence in Automated Fact-Checking: A Study on Retrieval-Augmented LLMsCode0
Retrieval Augmented Generation-based Large Language Models for Bridging Transportation Cybersecurity Legal Knowledge Gaps—0
MetaGen Blended RAG: Higher Accuracy for Domain-Specific Q&A Without Fine-TuningCode1
Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems—0
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty—0
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG)—0
BAGELS: Benchmarking the Automated Generation and Extraction of Limitations from Scholarly Text—0
VoxRAG: A Step Toward Transcription-Free RAG Systems in Spoken Question Answering—0
Ask, Retrieve, Summarize: A Modular Pipeline for Scientific Literature SummarizationCode0
Continually Self-Improving Language Models for Bariatric Surgery Question--Answering—0
Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation—0
CUB: Benchmarking Context Utilisation Techniques for Language Models—0
SimpleDeepSearcher: Deep Information Seeking via Web-Powered Reasoning Trajectory SynthesisCode4
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation—0
Tools in the Loop: Quantifying Uncertainty of LLM Question Answering Systems That Use Tools—0
HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation—0
MuseRAG: Idea Originality Scoring At ScaleCode0
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems—0
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question AnsweringCode1
R1-Searcher++: Incentivizing the Dynamic Knowledge Acquisition of LLMs via Reinforcement LearningCode4
Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph WalksCode0
After Retrieval, Before Generation: Enhancing the Trustworthiness of Large Language Models in RAG—0
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation—0
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