Seth Aycock
Seth Aycock has 2 papers in our library, in 2025–2026, most of them on Machine translation, Reasoning, English; often with Christof Monz, Di Wu, Gianluca Vico.
OpenAlex · h-index 2 · 21 works · 28 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 43 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9639
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 3Research subjects and languages the work is about.Reasoning · 1 workEnglish · 1 workMachine translation · 1 work
Works by year
2020s
Papers
- Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation (2025 · 12 citations)
The paper asks whether LLM translation actually benefits from human-style reasoning. In that approach, the model first analyses the source text (idioms, meanings and similar aspects), then drafts a translation, then refines it. The authors re-implement the four-step Step-by-step prompt of Briakou et al. (2024), a… - How Important is ‘Perfect' English for Machine Translation Prompts? (2026 · 1 citation)
LLMs now lead machine translation benchmarks, but they are tuned on carefully written standard English prompts.
All works
- Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? ↗ICLR 2025 (arXiv:2409.19151) · no summary yetSeth Aycock et al.2025 · 31 citations
- Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Di Wu, Seth Aycock, Christof Monz2025 · 12 citations
- How Important is ‘Perfect' English for Machine Translation Prompts?Findings of the Association for Computational LinguisticsPatrícia Schmidtová, Niyati Bafna, Seth Aycock, et al.2026 · 1 citation
- Last Translation Benchmark ↗arXiv:2609.04173 · no summary yetVilem Zouhar et al.2026
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- ICLR 2025 (arXiv:2409.19151)
Cited by
Updated
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