StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization
Paper • 2410.08815 • Published • 47
Don’t forget me
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A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Paper • 2304.14856 • Published • 1 -
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
Paper • 2405.13792 • Published • 1 -
Q-PEFT: Query-dependent Parameter Efficient Fine-tuning for Text Reranking with Large Language Models
Paper • 2404.04522 • Published -
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models
Paper • 2502.17920 • Published -
LLMs + Persona-Plug = Personalized LLMs
Paper • 2409.11901 • Published • 35 -
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
Paper • 2406.10777 • Published • 2 -
Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams
Paper • 2406.08085 • Published • 17 -
UMEM: Unified Memory Extraction and Management Framework for Generalizable Memory
Paper • 2602.10652 • Published • 3 -
MemFly: On-the-Fly Memory Optimization via Information Bottleneck
Paper • 2602.07885 • Published • 7 -
CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling
Paper • 2602.01766 • Published -
ProRAG: Process-Supervised Reinforcement Learning for Retrieval-Augmented Generation
Paper • 2601.21912 • Published • 1 -
LightMem: Lightweight and Efficient Memory-Augmented Generation
Paper • 2510.18866 • Published • 115 -
OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering
Paper • 2409.08250 • Published • 1 -
UniversalRAG: Retrieval-Augmented Generation over Multiple Corpora with Diverse Modalities and Granularities
Paper • 2504.20734 • Published • 62 -
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents
Paper • 2410.10594 • Published • 29 -
LightRAG: Simple and Fast Retrieval-Augmented Generation
Paper • 2410.05779 • Published • 31 -
Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 16 -
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation
Paper • 2505.07233 • Published • 8 -
MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries
Paper • 2401.15391 • Published • 6 -
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
Paper • 2406.18676 • Published • 6 -
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
Paper • 2502.01113 • Published • 6 -
Parametric Retrieval Augmented Generation
Paper • 2501.15915 • Published • 2 -
RAG-Instruct: Boosting LLMs with Diverse Retrieval-Augmented Instructions
Paper • 2501.00353 • Published -
Re-ranking the Context for Multimodal Retrieval Augmented Generation
Paper • 2501.04695 • Published • 1 -
RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects
Paper • 2501.18365 • Published -
RAG with Differential Privacy
Paper • 2412.19291 • Published -
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Paper • 2511.20857 • Published • 3 -
Test-Time Strategies for More Efficient and Accurate Agentic RAG
Paper • 2603.12396 • Published • 1 -
SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory
Paper • 2603.14588 • Published • 2 -
MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
Paper • 2603.09022 • Published • 24 -
GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent
Paper • 2603.13875 • Published • 30