> For the complete documentation index, see [llms.txt](https://emory.gitbook.io/ai-research-practicum/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://emory.gitbook.io/ai-research-practicum/assignments/hw7-experiments.md).

# HW7: Experiments

## Writing

* Write the Experiments section in your team overleaf project.
* Recommended length: 100 - 200 lines (including tables and figures).
* Submit the PDF version of your current draft up to the Experiments section.

## Rubric

* **Data Section** (1 point)
  * Are the sources and choices of the datasets clearly explained and justified?
  * Is the data preprocessing pipeline well-documented (if any)?
  * Are the dataset characteristics adequately described?
* **Data Split** (1 point)
  * Is the division of data into training/development/evaluation sets clearly specified?
  * Are the statistics for each data split comprehensively reported?
  * If using cross-validation, is the procedure properly explained?
* **Model Descriptions** (2 points)
  * Are the models described with sufficient references to the approach section?
  * Are the differences between methods clearly distinguished?
  * Is there a clear connection between model design choices and research objectives?
* **Evaluation Metrics** (2 points)
  * Are all evaluation metrics clearly defined with proper mathematical notation?
  * Is the choice of each metric well-justified?
  * Are the limitations of the chosen metrics discussed (if any)?
* **Experimental Settings** (1 point)
  * Are the hyperparameters and implementation details fully specified?
  * Is the hardware/software environment clearly described?
  * Are the experiments documented in a way that enables replication?
* **Model Development** (1 point)
  * Is the model development process clearly documented?
  * Are the key decisions and modifications during development explained?
  * Are the challenges encountered and their solutions discussed?
* **Result Tables** (2 points)
  * Are the experimental results presented in well-formatted, readable tables?
  * Are all tables properly labeled with units and descriptions?
  * Are baseline as well as existing state-of-the-art comparisons included and clearly marked?
* **Result Interpretations** (2 points)
  * Are the key findings from the results clearly identified and explained?
  * Are the strengths and weaknesses of the results discussed?
  * Are the implications of the results connected to the research questions?
