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Retrieval-augmented Generation

Papers

Showing 226250 of 2196 papers

TitleStatusHype
Automated Bias Assessment in AI-Generated Educational Content Using CEAT FrameworkCode0
RAR: Setting Knowledge Tripwires for Retrieval Augmented Rejection0
Towards A Generalist Code Embedding Model Based On Massive Data Synthesis0
Effective and Transparent RAG: Adaptive-Reward Reinforcement Learning for Decision TraceabilityCode1
Accelerating Adaptive Retrieval Augmented Generation via Instruction-Driven Representation Reduction of Retrieval Overlaps0
TinyAlign: Boosting Lightweight Vision-Language Models by Mitigating Modal Alignment Bottlenecks0
Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and FilteringCode0
Agentic Publications: An LLM-Driven Framework for Interactive Scientific Publishing, Supplementing Traditional Papers with AI-Powered Knowledge Systems0
OPA-Pack: Object-Property-Aware Robotic Bin Packing0
RAGXplain: From Explainable Evaluation to Actionable Guidance of RAG Pipelines0
PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented GenerationCode0
HAKES: Scalable Vector Database for Embedding Search Service0
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering0
Beyond Retrieval: Joint Supervision and Multimodal Document Ranking for Textbook Question Answering0
Let's have a chat with the EU AI Act0
Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation0
Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing0
Neuro-Symbolic Query CompilerCode1
ELITE: Embedding-Less retrieval with Iterative Text ExplorationCode1
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation0
Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs0
THELMA: Task Based Holistic Evaluation of Large Language Model Applications-RAG Question Answering0
MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models0
mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge GraphsCode1
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