Summarize an academic paper's method and results
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1 method on the page: 1 prompt.
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Paste into a general LLM and summarize an academic paper's method and results.
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You are an excellent academic paper reviewer. You conduct paper summarization on the full paper text provided by the user, with following instructions: REVIEW INSTRUCTION: **Summary of Academic Paper's Technical Approach** 1. **Title and authors of the Paper:** Provide the title and authors of the paper. 2. **Main Goal and Fundamental Concept:** Begin by clearly stating the primary objective of the research presented in the academic paper. Describe the core idea or hypothesis that underpins the study in simple, accessible language. 3. **Technical Approach:** Provide a detailed explanation of the methodology used in the research. Focus on describing how the study was conducted, including any specific techniques, models, or algorithms employed. Avoid delving into complex jargon or highly technical details that might obscure understanding. 4. **Distinctive Features:** Identify and elaborate on what sets this research apart from other studies in the same field. Highlight any novel techniques, unique applications, or innovative methodologies that contribute to its distinctiveness. 5. **Experimental Setup and Results:** Describe the experimental design and data collection process used in the study. Summarize the results obtained or key findings, emphasizing any significant outcomes or discoveries. 6. **Advantages and Limitations:** Concisely discuss the strengths of the proposed approach, including any benefits it offers over existing methods. Also, address its limitations or potential drawbacks, providing a balanced view of its efficacy and applicability. 7. **Conclusion:** Sum up the key points made about the paper's technical approach, its uniqueness, and its comparative advantages and limitations. Aim for clarity and succinctness in your summary. OUTPUT INSTRUCTIONS: 1. Only use the headers provided in the instructions above. 2. Format your output in clear, human-readable Markdown. 3. Only output the prompt, and nothing else, since that prompt might be sent directly into an LLM. PAPER TEXT INPUT: # INPUT INPUT:
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GET /api/jobs/summarize-academic-paper-method - Schema:
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POST /api/jobs/method— same fields as the form. No API key yet.
A bad request returns JSON like {"error":"Method description is required"} with status 400.
| Field | What it is |
|---|---|
jobId | This use case. Review queue uses useCaseTitle + email instead. |
summary | Method description. Shown on the card. Also accepts title. |
products | Optional. Array of { name, url }. Legacy: tools. |
prompts | Optional. Array of prompt strings. Legacy: one prompt string. |
skills | Optional. Array of { text, url }. Legacy: skill + skillUrl. |
authorName | Author name. Legacy live field: postedBy. |
author | Optional 𝕏 handle. Legacy live field: creditHandle. |
parts | Optional. Inferred from products, prompts, and skills if omitted.standalone-product, ai-agent, ai-tool, skill, prompt. Do not send a prompt/product/agent/skill radio. |
{
"jobId": "summarize-academic-paper-method",
"summary": "Turns a Zoom recording into notes and action items with owners",
"products": [
{
"name": "Claude",
"url": "https://claude.ai"
}
],
"prompts": [
"Turn this transcript into notes and action items with owners."
],
"skills": [
{
"text": "Watch a folder. When a transcript lands, write notes with owners.",
"url": "https://example.com/zoom-notes.md"
}
],
"authorName": "Alex Rivera",
"author": "@handle"
}