creanlab Academic Paper Summarization
Extracting key findings from AI/ML research papers.
When to use
- When operating in the
researchdomain. - When resolving incidents related to academic paper summarization.
When not to use
- If the issue requires manual human intervention.
- If the domain does not apply.
Triggers
- Pattern:
academic-paper-summarization - Keywords: research, academic
Inputs
- Context from the current user session or incident report.
Steps
1. Step 1
Read the abstract and conclusion to grasp the primary contribution.
2. Step 2
Identify the baseline models and the proposed novel architecture.
3. Step 3
Extract the core metrics (e.g., accuracy, BLEU, latency) from the results tables.
4. Step 4
Summarize the limitations and potential applications for current projects.
Success signals
- The task is resolved without regressions.
- Logs confirm the procedure was successfully applied.
Failure modes
- Incorrect application of the steps leading to side effects.
Safety notes
- Always verify changes in a staging environment before applying to production.
- Do not execute destructive commands without explicit authorization.