Paper reviews | CS324
stanford-cs324.github.io · 180 words · saved by 1 readers
Understanding and developing large language models.
The goal of the panel reviews is to critically read and analyze the paper(s). Reviewing is a central practice in the academic community; our goal for the course is for you to have a better grasp on what constitues a strong review and how to write strong reviews for a variety of different papers. At the top level, reviews should address: the main contributions of the paper(s), the strengths and weaknesses of the paper, and questions/discussion items you have based on the work. For this course, reviews should be a few paragraphs (in the style of a conference review, say for ACL or…
saved by
related reading
- Language Modelinglena-voita.github.io
- My Criteria for Reviewing Papersblog.evjang.com
- How to win a best paper award (or, an opinionated take on how to do important research)nicholas.carlini.com
- Finally, an ML conference review guide! – Austin Tripp’s websiteaustintripp.ca
- How to Read a Paperweb.stanford.edu
- Highly Opinionated Advice on How to Write ML Papers — LessWronglesswrong.com
- Paper Readings Guidance | 6.5950/6.5951shd.mit.edu
- CS197 | Projectweb.stanford.edu
- PowerPoint Presentationcs.ryerson.ca
- Advanced Topics in Natural Language Processingblender.cs.illinois.edu
- Reviewer Instructions 2026icml.cc
- How I review papers – Lightly Filteredblogs.cornell.edu