GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models
Paper
• 2406.14550 • Published
• 4
RAG articles
This collection is meant for RAG articles 1. Let your LLM generate a few tokens https://www.arxiv.org/abs/2412.11536
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Mixture-of-Agents Enhances Large Language Model Capabilities
Paper • 2406.04692 • Published • 59 -
Meta Prompting for AGI Systems
Paper • 2311.11482 • Published • 4 -
Symbolic Learning Enables Self-Evolving Agents
Paper • 2406.18532 • Published • 12 -
Automatic Instruction Evolving for Large Language Models
Paper • 2406.00770 • Published • 3 -
GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question Answering
Paper • 2409.06595 • Published • 38 -
Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
Paper • 2404.07220 • Published -
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation
Paper • 2410.09584 • Published • 48 -
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 71 -
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
Paper • 2411.03884 • Published • 28 -
The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset Generation
Paper • 2408.08688 • Published -
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts
Paper • 2503.05447 • Published • 8