arXiv (All)
open access
STAIR (STructure Aware Information Retriever): A novel dataset and LLM based retriever for document structure augmentation
Retrieval Augmented Generation (RAG) is a key component for generating accurate and hallucination free answers using Large Language Models (LLMs). LLMs are improving at handling long context, but still suffer from "lost in the middle" problem. Thus, precise and accurate retrieval is important. Curre
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- FLEET: From Logits Entropy to Enhanced Trajectories in Text Generation#1064201
- Feedback-Assisted Trust Propagation over Document Relation Graphs for Retrieval-Augmented Generation#819982
- Privacy-Preserving RAG by Concealing Sensitive Information from External LLMs#973310
- FAVoR: Measuring and Mitigating Author-Style Homogenization in Federated Personalized Generation#1105527
- Shadow Queries for Private Retrieval in Vector Databases#971436
Record · ID 926749
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive