Academic Writing Style Guide
Table of Contents
- Core Principles
- Sentence Length Guidelines
- Paragraph Structure
- Academic Vocabulary
- Transition Words
- Citation Integration
- Common Section Patterns
Core Principles
1. Clarity Over Complexity
- One idea per sentence
- Avoid nested clauses when possible
- Define terms on first use
2. Precision Over Vagueness
- Use specific numbers instead of "several" or "many"
- Quantify claims whenever possible
- Avoid hedging without evidence
3. Active Voice (When Appropriate)
- ✅ "We propose a novel method..."
- ✅ "This paper presents..."
- ❌ "A novel method is proposed by us..."
Sentence Length Guidelines
| Type | Word Count | Use Case |
|---|---|---|
| Short | 10-15 | Key findings, transitions |
| Medium | 15-25 | Most content |
| Long | 25-40 | Complex relationships |
| Very Long | >40 | ⚠️ Consider splitting |
Paragraph Structure
Topic Sentence
First sentence states the main point.
Supporting Sentences
- Evidence, examples, or elaboration
- 3-5 sentences typical
- Clear logical flow
Transition
Connect to next paragraph if needed.
Academic Vocabulary
Reporting Verbs (Neutral)
- states, notes, observes, reports, describes
Reporting Verbs (Strong Agreement)
- demonstrates, shows, proves, confirms, establishes
Reporting Verbs (Tentative)
- suggests, implies, indicates, proposes, hypothesizes
Reporting Verbs (Critical)
- claims, argues, asserts, alleges, maintains
Transition Words
Addition
- Furthermore, Moreover, Additionally, In addition
Contrast
- However, Nevertheless, Conversely, On the other hand
Cause/Effect
- Therefore, Consequently, As a result, Thus
Example
- For instance, For example, Specifically, In particular
Sequence
- First, Second, Subsequently, Finally
Citation Integration
Integral (Author as Subject)
"Smith et al. [1] demonstrated that..."
Non-Integral (Content Focus)
"Deep learning has shown remarkable success [1-3]."
Paraphrase (Preferred)
Restate the idea in your own words with citation.
Direct Quote (Sparingly)
Only for definitions or exceptionally well-phrased ideas.
Anti-Citation-Stacking Rules (Introduction & Related Work)
Stacking 3+ references without individual discussion is a common AI writing pattern and is unacceptable in top-tier venues. These rules apply to both Introduction and Related Work sections.
Rules:
Max 2 clustered citations without discussion per sentence
- ❌ "Many methods have been proposed [1], [2], [3], [4], [5]."
- ✅ "Smith et al. [1] proposed X for scenario A. Building on this, Jones [2] extended the approach to B, while Wang et al. [3] addressed limitation C."
Every cited work must earn its citation with at least one of:
- A summary of its core contribution (1 clause minimum)
- A comparison with another cited work
- A specific limitation that motivates your work
Narrative over parenthetical in Introduction and Related Work body:
- Use integral citations (author as subject) for key works: "Smith et al. [1] demonstrated..."
- Reserve non-integral citations (content focus) for well-established facts only: "Gradient descent is widely used [1], [2]."
Funnel-appropriate density (Introduction):
- Background paragraph (broad context): up to 2 clustered citations for established facts
- Problem statement paragraph: each citation must be individually discussed
- Gap/motivation paragraph: every cited limitation must reference a specific paper
Categorical discussion (Related Work):
- Group works by methodology/approach, not chronologically
- Within each group, discuss each work's specific contribution and limitation
- Use comparative language between works: "Unlike [1], method [2] addresses..."
Positive patterns (Introduction):
Smith et al. [1] proposed method X, achieving Y% accuracy on dataset Z.
However, their approach assumes A, which limits applicability to B.
Jones [2] relaxed this assumption by introducing C, but at the cost of D.
In contrast, our method addresses both limitations by...Positive patterns (Related Work):
\textbf{Transformer-based methods.} Vaswani et al. [1] introduced the
self-attention mechanism for sequence modeling. Li et al. [2] adapted this
architecture for time series, but their method requires O(n^2) memory.
Zhou et al. [3] proposed ProbSparse attention to reduce complexity to O(n log n),
though at the cost of approximation error.Negative patterns (FORBIDDEN):
Many researchers have studied this problem [1], [2], [3], [4], [5].
Several methods have been proposed [6], [7], [8], [9], [10], [11], [12].
Recent advances include [13], [14], [15], [16], [17], [18], [19], [20].Common Section Patterns
Introduction
- General context → Specific problem
- Gap in existing work
- Contributions of this work
- Paper organization
Related Work
- Categorize existing approaches
- Compare and contrast
- Position your work
Methodology
- Overview of approach
- Detailed steps
- Justification for choices
Results
- Experimental setup
- Quantitative results
- Qualitative analysis
- Comparison with baselines
Conclusion
- Summary of contributions
- Limitations
- Future work