Papers

• Don't Retrieve, Navigate: Distilling Enterprise Knowledge into Navigable Agent Skills for QA and RAG (2026)
  Yiqun Sun et al.
  1.94
• Little Brains, Big Feats: Exploring Compact Language Models (2026)
  Dari Baturova et al.
  1.94
• MetaChain: A Fully-Automated and Zero-Code Framework for LLM Agents (2025)
  Jiabin Tang et al.
  1.28
• Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation (2025)
  Mohammad Mahdi Abootorabi et al.
  1.28
• SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering? (2025)
  Yucheng Shi et al.
  1.28
• ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation (2025)
  Zhicheng Lee et al.
  1.28
• The Aloe Family Recipe for Open and Specialized Healthcare LLMs (2025)
  Dario Garcia-Gasulla et al.
  1.28
• Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs (2025)
  Yangning Li et al.
  1.28
• Are We on the Right Way for Assessing Document Retrieval-Augmented Generation? (2025)
  Wenxuan Shen et al.
  1.28
• Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward (2025)
  Yong Deng et al.
  1.28
• Select to Know: An Internal-External Knowledge Self-Selection Framework for Domain-Specific Question Answering (2025)
  Bolei He et al.
  1.28
• Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval (2025)
  Xiaojun Wu et al.
  1.28
• LUMINA: Detecting Hallucinations in RAG System with Context-Knowledge Signals (2025)
  Min-Hsuan Yeh et al.
  1.28
• RAG-Anything: All-in-One RAG Framework (2025)
  Zirui Guo et al.
  1.28
• RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems (2025)
  Jingru Lin et al.
  1.28
• Towards Mixed-Modal Retrieval for Universal Retrieval-Augmented Generation (2025)
  Chenghao Zhang et al.
  1.28
• Multi-hop Reasoning via Early Knowledge Alignment (2025)
  Yuxin Wang et al.
  1.28
• Generative Representational Instruction Tuning (2024)
  Niklas Muennighoff et al.
  —
• CRAG -- Comprehensive RAG Benchmark (2024)
  Xiao Yang et al.
  —
• Text2SQL is Not Enough: Unifying AI and Databases with TAG (2024)
  Asim Biswal et al.
  —
• HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems (2024)
  Jiejun Tan et al.
  —