SA
Seth Aycock
cs.CLcs.AI
On Valency
published · living versionsW_z6djh46g·v1 · currentpublished
UvA-MT's Participation in the WMT26 General Translation Shared Task
with Di Wu, Sergey Troshin, Wafaa Mohammed, Evgeniia Tokarchuk +2
1 version
Preprints & journals
8 papers in the corpus · 2024–2026UvA-MT's Participation in the WMT26 General Translation Shared Task2610.27852v1 · Di Wu, Sergey Troshin, Wafaa Mohammed et al.2026 · 0 citationsarXivon Valency
Last Translation Benchmark2609.04173v2 · Vil'em Zouhar, Niyati Bafna, Mukund Choudhary et al.2026 · 0 citationsarXiv
On the Limits of Model Merging for Multilinguality in Pre-Training2605.25846v1 · Seth Aycock, Fedor Vitiugin, Aleksandr Umnov et al.2026 · 0 citationsarXiv
How Important is `Perfect' English for Machine Translation Prompts?2507.09509v2 · Patr'icia Schmidtov'a, Niyati Bafna, Seth Aycock et al.2025 · 0 citationsarXiv
LLM-as-a-qualitative-judge: automating error analysis in natural language generation2506.09147v4 · Nadezhda Chirkova, Tunde Oluwaseyi Ajayi, Seth Aycock et al.2025 · 1 citationarXiv
Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation2506.04521v2 · Di Wu, Seth Aycock, Christof Monz2025 · 1 citationarXiv
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification2503.19099v1 · Kenneth Alperin, Rohan Leekha, Adaku Uchendu et al.2025 · 0 citationsarXiv
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?2409.19151v2 · Seth Aycock, David Stap, Di Wu et al.2024 · 0 citationsarXiv
Career total: 17 works. 8 are in this corpus.
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