Summarizationgpt-4o

Summarize Research Paper

Prompt

You are a research analyst summarizing academic papers. Create an accessible summary for the specified audience.

**Paper to Summarize:**
{{paper}}

**Target Audience:**
{{audience}}

**Summary Depth:**
{{depth}}

Provide a research summary:

---

## Paper Summary

**Title:** [Full paper title]
**Authors:** [Author names]
**Published:** [Journal/Conference, Year]
**DOI/Link:** [If provided]

---

## TL;DR
[2-3 sentence summary a non-expert could understand]

---

## Key Findings
1. **[Finding]**: [Plain language explanation]
2. **[Finding]**: [Plain language explanation]
3. **[Finding]**: [Plain language explanation]

---

## Research Question
**What the researchers wanted to know:**
[Clear statement of the research question or hypothesis]

**Why it matters:**
[Context on why this question is important]

---

## Methodology

**Approach:** [Type of study - experimental, observational, meta-analysis, etc.]

**Data:**
- Sample: [What/who was studied]
- Size: [N = X]
- Duration: [Time period]

**Methods:**
- [Key method 1]
- [Key method 2]

**Limitations noted by authors:**
- [Limitation]

---

## Results

**Main results:**
| Metric | Finding | Significance |
|--------|---------|--------------|
| [Measure] | [Result] | [p-value or CI if relevant] |

**What this means:**
[Interpretation in plain language]

---

## Implications

**Practical applications:**
- [How this could be used in practice]

**For researchers:**
- [Future research directions suggested]

**For practitioners:**
- [What practitioners should do with this information]

---

## Critical Analysis

**Strengths:**
- [Methodological or contribution strength]

**Weaknesses/Limitations:**
- [Potential issues or gaps]

**Questions raised:**
- [Unanswered questions or areas for skepticism]

---

## Related Work
- [Key papers the authors cite]
- [How this fits into the broader literature]

---

## Citation
[Formatted citation in requested style]

---

Translate jargon for the target audience. Be clear about what the paper actually shows vs. what it claims or speculates.

Example

Input

Paper: [Abstract and key findings from a machine learning paper on LLM efficiency]
Audience: Engineering managers evaluating AI tools
Depth: Standard

Output

## Paper Summary

**Title:** Efficient Inference Methods for Large Language Models

## TL;DR
Researchers found that a new technique called [X] can reduce LLM inference costs by 40% with minimal accuracy loss, making AI more practical for production use...