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Best prompts for LIM for summarization using academic papers
12 practical, copy-ready prompts optimized for summarizing academic papers with Language Interaction Models (LIM). Each prompt is specific about output format, length, and focus to produce reproducible, high-quality summaries for research workflows.
Claude Opus 4
GPT-5
Claude Sonnet 4
Gemini 2.5 Pro
Gemini 2.5 Flash
You know that sinking feeling when you're staring at a 40-page research paper at 11 PM, desperately trying to extract the key insights for your literature review or project proposal. You've probably spent countless hours wrestling with dense academic language, struggling to identify what's actually important, and then fumbling to summarize it in a way that makes sense to your colleagues or stakeholders.
These 12 battle-tested prompts transform your academic paper summarization from a painful, time-consuming guessing game into a systematic, efficient process. Whether you need a structured abstract for your grant application, bullet points for your next presentation, or a plain-language summary for stakeholders, each prompt delivers exactly the format and focus you need. Instead of spending hours deciphering complex papers and second-guessing your summaries, you'll have professional-quality outputs in minutes, letting you focus on the actual research and insights that matter.
1
Structured 200-word Abstract (Background/Objective/Methods/Results/Conclusion)
You are given the full text of an academic paper. Produce a single structured abstract of exactly 200 words, with five labeled sections: Background, Objective, Methods, Results, Conclusion. In Results include one specific numeric outcome (e.g., accuracy, effect size, p-value) drawn from the paper. End the Conclusion with one concise limitation. Keep formal academic tone; do not invent data—if a numeric value is not present, state "numeric result not reported." Text to summarize: [INSERT FULL PAPER TEXT].
Produce a compact, 200-word structured abstract with five labeled sections. Include one numeric result and one limitation sentence.
2
Five-Bullet TL;DR with Key Numbers
Read the provided paper text and produce exactly five concise bullets. Each bullet must be one sentence and cover: (1) research objective, (2) dataset/sample size and setting, (3) main method/approach, (4) primary quantitative result with metric and sample size, and (5) high-level implication for the field. If a number is not reported, write 'not reported.' Use plain language suitable for rapid scanning. Paper text: [INSERT FULL PAPER TEXT].
Generate a 5-bullet TL;DR emphasizing objective, dataset, method, primary quantitative result, and main implication.
3
Method-Focused Summary with Pseudocode and Hyperparameters
From the provided paper, extract the complete method description and produce: (A) a 6–10 line pseudocode algorithm that captures the computational pipeline, (B) a bullet list of all reported hyperparameters (learning rate, batch size, epochs, optimizer, architecture sizes), and (C) one-sentence note on training/validation splits and data augmentation. If any hyperparameter is missing, mark it as 'not reported.' Input: [INSERT METHODS SECTION OR FULL PAPER].
Extract the methods section, produce concise pseudocode, and list hyperparameters and training regimen.
4
Limitations, Biases, and Recommended Next Experiments
Analyze the paper and produce: (1) a numbered list of up to 6 explicit limitations stated by the authors; (2) up to 6 implicit limitations or potential biases the authors did not state (e.g., selection bias, confounders, generalizability); and (3) three prioritized experimental or analysis recommendations (title, short rationale, expected outcome) to address the top limitations. Use evidence from the text; flag any inferred limitations as 'inferred.' Paper text: [INSERT FULL PAPER].
Extract explicit and implicit limitations, list biases, and propose three prioritized experiments to address them.
5
6-Slide Presentation Bullets with Speaker Notes
Create content for a 6-slide presentation summarizing the paper. For each slide provide: (A) a one-line slide title, (B) exactly three concise bullets suitable for slide text, and (C) one one-sentence speaker note elaborating the bullets. Slides should be: 1. Title/Context, 2. Objective, 3. Methods, 4. Results, 5. Limitations, 6. Takeaway/Future work. Input: [INSERT FULL PAPER TEXT].
Produce six slide bullet lists (title + 3 bullets each) and one-sentence speaker note for each slide.
6
Cross-paper Synthesis: Compare up to 3 Papers
Given up to three academic papers (provide full text of each), create a comparative summary that includes: (A) a 3-row table (one row per paper) with columns: Authors (year), Dataset (size), Method, Key metric (value); (B) a 3-bullet synthesis highlighting consistencies and disagreements across the papers; (C) one-sentence recommendation for future meta-analysis. If a metric is not comparable, write 'not comparable.' Inputs: Paper1: [TEXT], Paper2: [TEXT], Paper3: [TEXT].
Synthesize results across up to three papers: comparable metrics, datasets, and a short consensus statement.
7
Lay Summary (≤100 words) for Non-Experts
Write a plain-language summary of the paper using no more than 100 words. Avoid technical terms; if a technical term is necessary, provide a short parenthetical definition. Include: who benefits, what was done, main finding in simple numeric terms (if available), and one practical implication. Input: [INSERT FULL PAPER TEXT].
Convert technical findings into a short, plain-language summary under 100 words suitable for press releases or patient info.
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