Viraj Kumar

Information Systems · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Viraj Kumar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sami Sarsa
  2. Paul Denny

Papers from Viraj Kumar's perspective

Ordered by how strongly the researchers Viraj Kumar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Evaluating Large Language Models Trained on Code (arXiv.org)
  2. Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
  3. On the Opportunities and Risks of Foundation Models
  4. Program Synthesis with Large Language Models
  5. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming
  6. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
  7. Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models
  8. Robosourcing Educational Resources - Leveraging Large Language Models for Learnersourcing
  9. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
  10. Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models

Their papers