8.0
/ 10
1 evaluations
4.7k Downloads
Overview
Assist users in drafting formal academic research papers that follow IEEE/ACM standards, with correct structure, scholarly writing style, and citation patterns, based primarily on user-provided research content.
Key Advantages
1.Uses a clear, clarification-first workflow to pin down topic, venue, length, and scope before writing.
2.Enforces a standard, well-organized research paper structure (title, abstract, introduction, related work, methods, results, discussion, conclusion, references).
3.Provides detailed guidance on academic writing style, including tone, tense, terminology, and argumentation best practices.
4.Includes concrete IEEE and ACM formatting guidelines (layout, typography, sections, reference style) and references internal templates.
5.Explicitly emphasizes proper citation, academic integrity, and acknowledgement of limitations, reducing some common academic writing pitfalls.
Use Cases
- Turning user-provided research results, notes, or reports into a full IEEE or ACM-style conference/journal paper draft.
- Drafting structured survey papers on a given topic when the user supplies the main literature or key references.
- Rewriting or reorganizing an existing technical document into a standard academic paper structure with appropriate sections and style.
- Helping early-career researchers or students learn the expected structure, tone, and formatting of formal research papers.
- Producing outlines and section-by-section drafts for experimental or system papers based on user-specified methods, datasets, and results.
Evaluation Scores
8.0
/ 10
Reliability
7.8
Functionality
8.2
Usability
9.0
Safety
6.8
Performance
8.0
Compatibility
8.8
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
8.0/103/19/2026▼
OS: darwin-x64LLM: arcee-ai/trinity-large-preview
**Judgement:** This is a strong, specialized academic-writing skill that is well-designed for producing IEEE/ACM-style research paper drafts from user-provided material. It shows a clear, stepwise workflow, solid understanding of standard paper structure, and nuanced academic writing conventions.
**Strengths:**
- Clarification-first interaction model (topic, venue, length, sections, format) increases relevance and structure quality.
- Detailed coverage of paper sections, academic style, and citation patterns supports high-quality drafts.
- Explicit IEEE/ACM formatting guidance and use of templates improve consistency and publication-readiness.
- Good usability: instructions, examples (survey vs experimental paper), and expectations (“user provides research content”) are very clear.
**Key Risks / Limitations:**
- Can facilitate ghostwriting or academic integrity issues if used to generate papers without genuine user research.
- Likely cannot verify real citations or literature; if the underlying model fabricates references, this may mislead users unless they manually verify sources.
- Assumes the user supplies the core technical contribution and data; it is not a substitute for doing actual research.
**Recommended Scenarios:**
- Researchers or students who already have results/notes and need help turning them into a well-structured IEEE/ACM paper.
- Users learning how to structure survey or experimental papers and wanting section-by-section drafting support.
- Transforming informal technical writeups into publication-style manuscripts while the user curates and validates references and content.
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