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Retrieval-augmented Generation

Papers

Showing 5175 of 2196 papers

TitleStatusHype
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementCode1
eLog analysis for accelerators: status and future outlook0
FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented GenerationCode3
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning0
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation0
Med-PRM: Medical Reasoning Models with Stepwise, Guideline-verified Process Rewards0
Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs0
Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning0
Large Language Models for History, Philosophy, and Sociology of Science: Interpretive Uses, Methodological Challenges, and Critical Perspectives0
Enter: Graduated Realism: A Pedagogical Framework for AI-Powered Avatars in Virtual Reality Teacher Training0
SocialCredit+0
LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability AnalysisCode0
Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements0
Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry ChallengesCode0
Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCode1
Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced ClaimsCode0
CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-TrainingCode0
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningCode2
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
Bridging the Gap Between Open-Source and Proprietary LLMs in Table QACode0
XGraphRAG: Interactive Visual Analysis for Graph-based Retrieval-Augmented GenerationCode0
Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service EnvironmentCode0
FedRAG: A Framework for Fine-Tuning Retrieval-Augmented Generation SystemsCode2
FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented GenerationCode1
Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-k0
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