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Academic Writing Style Guide ​

Table of Contents ​


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 ​

TypeWord CountUse Case
Short10-15Key findings, transitions
Medium15-25Most content
Long25-40Complex 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.

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:

  1. 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."
  2. 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
  3. 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]."
  4. 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
  5. 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):

latex
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):

latex
\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):

latex
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 ​

  1. General context → Specific problem
  2. Gap in existing work
  3. Contributions of this work
  4. Paper organization
  1. Categorize existing approaches
  2. Compare and contrast
  3. Position your work

Methodology ​

  1. Overview of approach
  2. Detailed steps
  3. Justification for choices

Results ​

  1. Experimental setup
  2. Quantitative results
  3. Qualitative analysis
  4. Comparison with baselines

Conclusion ​

  1. Summary of contributions
  2. Limitations
  3. Future work

Released under the MIT License.