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Curriculum/LLM Research and NLP/Research Practice and Publishing at ACL SRW/Reading Papers and Literature Review
45 minIntermediate

Reading Papers and Literature Review

After this lesson, you will be able to: Read research papers efficiently and build a literature review that situates your idea and finds the right baselines.

Research starts with reading. This lesson teaches the three-pass reading method, how to build a focused literature review, and how reading reveals the baselines and gap your paper must address.

Prerequisites:The ACL Ecosystem and SRW

The three-pass read

Do not read papers front to back. Pass 1 (5 minutes): title, abstract, figures, conclusion, decide if it is relevant. Pass 2 (~30 minutes): read for the main claim, the method at a high level, and the experimental setup, ignore proofs/details. Pass 3 (hours, only for papers central to your work): reconstruct the method well enough that you could reimplement it, and note every assumption. You will three-pass dozens of papers, deep-read only a handful. Keep notes in a reference manager (Zotero) with your own one-line summary of each paper's contribution.

Building a literature review

Start from a few seminal papers in your area, then expand via 'cited by' (Semantic Scholar, Google Scholar) and the related-work sections of recent papers. The ACL Anthology is searchable and complete for NLP. Organize papers by the question they answer, not chronologically. Your goal is to be able to say: here is what has been tried, here is what each approach got, and here is the specific gap my work addresses. That paragraph becomes your paper's related-work section and justifies your contribution.

⚠️ Reading reveals your baselines

The single most important thing reading gives you is the set of baselines you must beat or compare against. Reviewers reject papers that ignore an obvious recent baseline or compare only to a weak one. As you read, build a list: for this task, the standard datasets, the standard metrics, and the methods everyone compares to. Your experiment is only credible if it includes the baselines the literature considers mandatory.

Common mistakes only experienced researchers catch

Deep-reading every paper (you will read three and burn out). Citing papers you only read the abstract of as if you understood them. Missing a closely-related recent paper, then having a reviewer point out you reinvented it. Building a chronological 'X did this, then Y did that' related-work section instead of one organized around the research question. Choosing weak baselines because they are easy to beat. Not using a reference manager, then losing track of what you read.

Quick Check

What is the most important practical thing a literature review gives your experiment?

Pick the best answer.

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