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Research papers, made simple to understand

The AI and machine learning papers people are reading most, each one rewritten in plain words: the problem, the idea, what was found and why it matters.

  • All topics
  • AI Agents33
  • Language Models & Architectures11
  • LLM Reasoning4
  • Training & Efficiency11
  • Reinforcement Learning & Alignment8
  • Image & Video Generation14
  • Multimodal & Vision20
  • Robotics & Physical AI10
  • Benchmarks & Evaluation12
  • Serving & Infrastructure1
  • Retrieval & RAG1
  • Safety & Interpretability1
  • Speech & Audio2

Retrieval & RAG1 paper, newest first

    • Retrieval & RAG

    Combining retrieval and generation improves knowledge-intensive NLP tasks

    RAG models integrate a pre-trained seq2seq generator with a neural retriever over Wikipedia, achieving state-of-the-art results on open-domain QA and generating more factual, diverse text than parametric-only baselines.

    Paper: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks · Patrick Lewis, Ethan Perez, Aleksandra Piktus and 9 others

    Classic · 202031 Oct 20265 min readRead the article