CS 4364 Lab 7

  • Lab 7 Review, Due Wednesday, 03/18/2026, by midnight (23:59, EST)

Announcements

Goals

Goals for this Lab Assignment:

1. Review Examples

Please read the two paper review examples below:

8-8-10, Best paper award Reduced, Reused and Recycled: The Life of a Dataset in Machine Learning Research By Bernard Koch, Emily Denton, Alex Hanna, and Jacob Gates Foster.

7-7-10, ML and BCI EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction By Ard Kastrati and Martyna Beata Plomecka and Damian Pascual and Lukas Wolf and Victor Gillioz and Roger Wattenhofer and Nicolas Langer.

2. Double-Blind Peer Review (Revision Check)

In this lab, you will review a peer’s revised midterm paper. Your goal is to evaluate whether the authors addressed prior feedback and to provide an updated overall assessment.

  • Step 1: Read the previous reviews first, then skim the earlier version (if provided) to understand the main concerns raised.

  • Step 2: Review the revised paper carefully and check whether the authors made meaningful changes that respond to the feedback.

  • Step 3: Write a short narrative review (one concise paragraph or two) describing what improved, what remains unresolved (if anything), and your overall assessment of the current draft.

  • Step 4: Provide an updated overall score or recommendation based on the revised version (not the original submission).

  • Step 5: Keep your comments constructive, specific, and professional, and do not include any identifying information (maintain double-blind format).

3. Submission Guide

  • This lab is an individual assignment, Each student must complete and submit their own work. Team submissions are not allowed.

    Each student must submit one ZIP file named lab_7_lastname.zip.The ZIP file should include:

    1. Twelve review PDF files in AAAI format, name your review files such as submission_1st_reviewer_A7D5.PDF, submission_5th_reviewer_A7D5.PDF

    2. To maintain a double-blind review process, each student will be assigned an individual reviewer code. Use your reviewer code in all file names and do not include your name inside the review documents.

4. Notes

  • Submit your zip file for the lab to BlackBoard.

  • Lab assignments will typically be released on Thursday and will be due by midnight on the following Wednesday.

  • Lab 7 Review, Due Wednesday, 03/18/2026, by midnight (23:59, EST)