PaperList

Explore Website
PaperList preview image

What is PaperList?

Stay up to date with the latest research in AI and machine learning. Explore a wide range of topics from experts around the world.

Features

  • Less Is More for Alignment: Unsupervised pretraining for language models, with limited instruction tuning, can produce high-quality output.
  • Neural Network Architecture Beyond Width and Depth: NestNet uses a 3D structure that approximates continuous functions with less error than previous neural networks.
  • High-Performance Graph Databases: Scalable and portable graph database system outperforms past GDBs in performance, scalability, programmability.
  • GPT Detectors are Biased Against Non-Native English Writers: Study shows that current detectors of AI-generated content misclassify non-native English writing as AI-generated.
  • Cooperation Is All You Need: Cooperator, an algorithm for reinforcement learning inspired by neurobiological discoveries, outperforms traditional neural network architecture.
  • Tree of Thoughts: Deliberate Problem Solving with Large Language Models: The Tree of Thoughts (ToT) framework enables coherent units of text as intermediate steps toward problem-solving in language models.
  • Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold: DragGAN allows users to manipulate GAN images by dragging points, achieving precise control over pose, and layout for realistic outputs.
  • Towards Expert-Level Medical Question Answering with Large Language Models: Med-PaLM 2, an AI system, can accurately answer medical questions with clinical utility at levels similar to physicians.
  • DarkBERT: A Language Model for the Dark Side of the Internet: DarkBERT, a language model specific to the Dark Web, outperforms current models and may prove valuable for future Dark Web research.
  • Principle-Driven Self-Alignment of Language Models: SELF-ALIGN combines AI reasoning with large language models, producing high-quality responses with minimal human supervision.

Use Cases:

  • Stay Informed on the Latest Research: With a wide range of topics, PaperList helps you stay up to date on the latest research in AI and machine learning.
  • Collaborate on Research Projects: Share research papers and collaborate with experts from around the world on cutting-edge research projects.
  • Improve Your AI Skills: Learn from experts in the AI and machine learning field and improve your skills with the latest research papers.

PaperList is the go-to source for the latest research in AI and machine learning, featuring a diverse range of topics and expert insights.