🧑‍🔬 Who cites Seth Aycock

43 citations of their works from 42 papers of our library (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← Seth Aycock

1. 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
2. Test-Time Scaling of Reasoning Models for Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zihao Li, Shaoxiong Ji, Jörg Tiedemann2026 · 5 citations
3. LLM Dependency Parsing with In-Context RulesMichael Ginn, Alexis Palmer2025 · 5 citations
4. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error AnnotationsFindings of the Association for Computational LinguisticsShaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.2026 · 2 citations
5. Can LLMs Translate Italy's Language Varieties?Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)Edoardo Signoroni, Pavel Rychlý2026 · 1 citation
6. Culturally-Aware Image Captioning for Guaraní with Multimodal Prompting: IUHoosiers at AmericasNLP 2026Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)Wenchen Shi, Phakphum Artkaew, Luke Gessler2026 · 1 citation
7. Evaluating Robustness of Large Language Models Against Multilingual Typographical ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Raoyuan Zhao, Yihong Liu, Lena Altinger, et al.2026 · 1 citation
8. The Role of Mixed-Language Documents for Multilingual Large Language Model PretrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Jiandong Shao, Raphael Tang, Crystina Zhang, et al.2026 · 1 citation
9. Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Ji Hun Wang, Siyu Wu2026
10. Evaluating Frontier LLM Translation Capability for LakotaWorkshop on NLP for Indigenous Languages of the Americas (AmericasNLP)Lance Robertson2026
11. GlossMATE: Multi-Agent Translator Explanations for GlossesLanguage Resources and Evaluation Conference (LREC)Changbing Yang, Patrick Littell, Gabriel Bernier-Colborne, et al.2026
12. Speaking of Language: Reflections on Metalanguage Research in NLPBig Picture v2: Crafting a Research NarrativeNathan Schneider, Antonios Anastasopoulos2026
13. What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Shaomu Tan, Dawei Zhu, Ke Tran, et al.2026
14. Efficient Architectures For Low-Resource Machine TranslationWorkshop on Advancing NLP for Low-Resource LanguagesEdoardo Signoroni, Pavel Rychly, Ruggero Signoroni2025

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