retrieval-augmented generation
A technique that combines retrieval systems with generative models to generate text, enhancing the output quality by incorporating relevant information retrieved from an external database or corpus, effectively grounding responses in factual knowledge.
- AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video Understanding
- AgentAuditor: Human-level Safety and Security Evaluation for LLM Agents
- AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems
- Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?
- Cooperative Retrieval-Augmented Generation for Question Answering: Mutual Information Exchange and Ranking by Contrasting Layers
- Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
- DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
- EAReranker: Efficient Embedding Adequacy Assessment for Retrieval Augmented Generation
- GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
- Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models
- HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
- Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning
- Influence Guided Context Selection for Effective Retrieval-Augmented Generation
- InvisibleInk: High-Utility and Low-Cost Text Generation with Differential Privacy
- KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems
- Knowledge-based Visual Question Answer with Multimodal Processing, Retrieval and Filtering
- Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models
- NeuroGenPoisoning: Neuron-Guided Attacks on Retrieval-Augmented Generation of LLM via Genetic Optimization of External Knowledge
- NeuroPath: Neurobiology-Inspired Path Tracking and Reflection for Semantically Coherent Retrieval
- Optimizing Retrieval for RAG via Reinforced Contrastive Learning
- ParamMute: Suppressing Knowledge-Critical FFNs for Faithful Retrieval-Augmented Generation
- Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
- RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering
- RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
- RAG4GFM: Bridging Knowledge Gaps in Graph Foundation Models through Graph Retrieval Augmented Generation
- RAGRouter: Learning to Route Queries to Multiple Retrieval-Augmented Language Models
- ReliabilityRAG: Effective and Provably Robust Defense for RAG-based Web-Search
- Retrieval is Not Enough: Enhancing RAG through Test-Time Critique and Optimization
- Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging
- SeCon-RAG: A Two-Stage Semantic Filtering and Conflict-Free Framework for Trustworthy RAG
- TRACE: Grounding Time Series in Context for Multimodal Embedding and Retrieval
- TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
- Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
- Understanding Parametric and Contextual Knowledge Reconciliation within Large Language Models
- VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning
- Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding
- Worse than Zero-shot? A Fact-Checking Dataset for Evaluating the Robustness of RAG Against Misleading Retrievals