Key papers

• The Distracting Effect: Understanding Irrelevant Passages in RAG (2025)
  Chen Amiraz et al.
  4.47
• Efficient Text-Guided Convolutional Adapter for the Diffusion Model (2026)
  Aryan Das et al.
  1.94
• 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
• AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation (2026)
  Yuan Wang et al.
  1.94
• PlotGen: Multi-Agent LLM-based Scientific Data Visualization via Multimodal Feedback (2025)
  Kanika Goswami et al.
  1.28
• 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
• LettuceDetect: A Hallucination Detection Framework for RAG Applications (2025)
  Ádám Kovács et al.
  1.28
• GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing (2025)
  Rongyao Fang 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
• FullFront: Benchmarking MLLMs Across the Full Front-End Engineering Workflow (2025)
  Haoyu Sun 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
• DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks (2025)
  Haiyuan Wan et al.
  1.28
• FLUX-Reason-6M & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark (2025)
  Rongyao Fang 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
• From Charts to Code: A Hierarchical Benchmark for Multimodal Models (2025)
  Jiahao Tang et al.
  1.28
• ReCode: Unify Plan and Action for Universal Granularity Control (2025)
  Zhaoyang Yu et al.
  1.28
• Multi-hop Reasoning via Early Knowledge Alignment (2025)
  Yuxin Wang et al.
  1.28
• Genie: Achieving Human Parity in Content-Grounded Datasets Generation (2024)
  Asaf Yehudai et al.
  —
• Generative Representational Instruction Tuning (2024)
  Niklas Muennighoff et al.
  —
• CRAG -- Comprehensive RAG Benchmark (2024)
  Xiao Yang et al.
  —
• From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries (2024)
  Hitesh Wadhwa et al.
  —
• Text2SQL is Not Enough: Unifying AI and Databases with TAG (2024)
  Asim Biswal et al.
  —
• HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models (2024)
  Haoran Que et al.
  —
• Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease Knowledge (2024)
  Karthik Soman et al.
  —
• HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems (2024)
  Jiejun Tan et al.
  —
• VideoGLaMM: A Large Multimodal Model for Pixel-Level Visual Grounding in Videos (2024)
  Shehan Munasinghe et al.
  —
• OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation (2024)
  Junyuan Zhang et al.
  —
• TOMG-Bench: Evaluating LLMs on Text-based Open Molecule Generation (2024)
  Jiatong Li et al.
  —