We will have two papers discussed per meeting. Each student need to read all assigned papers and write reports. However, if you are presenting in a given meeting, you need not write a report for any of the other papers.
Students should critique the papers to be discussed in class. Do not directly copy the abstract, introduction, conclusion or any other part of the paper - you must add value and insight beyond what is already in the paper. Unless specified otherwise, all paper critiques are due by 12pm the day of the respective class and should address the following questions (inspired from this excellent resource on how to Read an Engineering Research paper by William Griswold):
What is your analysis of the identified problem, idea and evaluation? Is this a good idea? What are the most interesting points made? What are the most controversial ideas or points made? For work that has practical implications, you also want to ask: Is this really going to work, who would want it, what it will take to give it to them, and when might it become a reality?
What flaws do you perceive in the work?
Not only what future directions do the authors identify, but what ideas did you come up with while reading the paper? Sometimes these may be identified as shortcomings or other critiques in the current work. Examples include, but are not limited to: Can the same problem have a different solution? Can the same solution be applied to a different problem? Would a bigger evaluation be appropriate?
What questions are you left with? What questions would you like to raise in an open discussion of the work? What do you find confusing or difficult to understand? By taking the time to list several, you will be forced to think more deeply about the work.
What are you looking forward to get out of a class discussion based on this paper? What are the most important points you would like to discuss with colleagues and the professor in class?
Some students gain more insights using experiential learning: read a paper, download the tool, and use it for your own usecase. Then write a Tool Experience Report -- instead of the Paper Critique format outlined above. After using the tool, write a 1-page, concise reflection on using the tool introduced by the research paper, following this format:
Submit your paper critique by 12pm on the day of the class on Canvas. By sending your questions earlier than the class time, the presenter will have time to find some other relevant materials that are addressing your questions. Thus, the presenter will be able to better serve you.
This course is about building AI agents, so the thoughtful use of Generative AI is not only permitted but encouraged. Learning to work effectively with AI is an important course objective. However, some assignments are designed to develop skills that only improve through independent reading, critical thinking, and writing. The Paper Critique assignment is one of those assignments.
You may use AI before or during your reading to deepen your understanding of the paper, provided that AI is helping you learn, not doing the assignment for you. Appropriate uses include:
These uses are encouraged because they help you learn more effectively and make you a stronger researcher.
The Paper Critique must be entirely your own intellectual work. AI may not be used to create, edit, or improve any part of the submitted critique. This includes, but is not limited to:
In other words, no part of the submitted Paper Critique may be authored or refined by AI.
Use AI to increase your understanding, not to replace your thinking.
The purpose of the Paper Critique is to demonstrate that you have carefully read the paper, identified its key ideas, evaluated its strengths and weaknesses, and articulated your own insights. These are essential skills for researchers and engineers, and they can only be developed through deliberate practice.
When deciding whether a particular use of AI is appropriate, ask yourself:
Is AI helping me learn more deeply, or is it doing the intellectual work that I am expected to do myself?
If AI is helping you understand the paper better, it is likely appropriate. If AI is performing the reading, analysis, writing, or editing that the assignment is intended to assess, it is not.
Violations of this policy will be treated as violations of the course's academic integrity policy.