Gatsby Without the 'E': Crafting Lipograms with LLMs
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Abstract (arXiv)
Lipograms are a unique form of constrained writing where all occurrences of a particular letter are excluded from the text, typified by the novel Gadsby, which daringly avoids all usage of the letter 'e'. In this study, we explore the power of modern large language models (LLMs) by transforming the novel F. Scott Fitzgerald's The Great Gatsby into a fully 'e'-less text. We experimented with a range of techniques, from baseline methods like synonym replacement to sophisticated generative models enhanced with beam search and named entity analysis. We show that excluding up to 3.6% of the most common letters (up to the letter 'u') had minimal impact on the text's meaning, although translation fidelity rapidly and predictably decays with stronger lipogram constraints. Our work highlights the surprising flexibility of English under strict constraints, revealing just how adaptable and creative language can be.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 24 references that are in the map. First posted on arXiv 26 May 2025.
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References · 9
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
- 2023QLoRA: Efficient Finetuning of Quantized LLMscited by 3,418
- 2019PAWS: Paraphrase Adversaries from Word Scramblingcited by 402
- 2018Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translationcited by 182
- 2021Controlled Text Generation as Continuous Optimization with Multiple Constraintscited by 70
- 2016Improving Coreference Resolution by Learning Entity-Level Distributed Representationscited by 50
- 2021Constrained Text Generation with Global Guidance -- Case Study on CommonGencited by 10
- 2023Most Language Models can be Poets too: An AI Writing Assistant and Constrained Text Generation Studiocited by 9
- 2024An Open Multilingual System for Scoring Readability of Wikipediacited by 7
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