经典rerank

• Paper:
• PDF: [[|论文.pdf]]
• Venue / year: 2019
• Topic: 经典rerank设计

1. To Understand List

2. Abstract

• Model / method:
• Problem:
• Method:
• Result:

• Keywords:

3. Problem-Solution Chain

Introduction Notes

• Core problem:
• Why it matters:
• Previous methods:
• Limitations:
• Main contributions:

4. Related Works

What this paper does

Prior work map

5. Key Figure / Pipeline

• Figure:
• Input:
• Output:
• Main modules:
• Difference from prior methods:
• My explanation in plain language:

Questions about the figure

6. Methods

Core idea

Step-by-step process

1. Raw input:
2. Operation:
3. Model / algorithm:
4. Intermediate representation:
5. Training objective:
6. Final output:

Formula / algorithm notes

7. Experiments

Setup

• Datasets:
• Baselines:
• Metrics:
• Training / inference setting:

Main results

Ablation / analysis

• What matters most:
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• Surprising result:

• Metrics to understand:

8. Conclusion

• Main takeaway:

• Innovation points:

• Reusable methods / experience:

• Problems / limitations:

• Next action: