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Multilingual Coreference Resolution via Cycle-Consistent Machine Translation

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arXiv:2606. 05444v1 Announce Type: new Abstract: Coreference resolution is a core NLP task, having a broad range of downstream applications, e.

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Authors: Adriana-Valentina Costache, Eduard Poesina, Silviu-Florin Gheorghe, Paul Irofti, Radu Tudor Ionescu
Released: 2026-06-05 (2mo ago)
Topic: Related to current project
Relation to my work: Read next because Multilingual Coreference Resolution via Cycle-Consistent Machine Translation overlaps with clean result "Training one persona to emit a [ZLT] marker without bystanders adopting it has a one-cell-wide LR x epochs window on Qwen2.5-7B-Instruct (LOW confidence)", clean result "The marker is a representational handle, not a behavioural one — sharing it between a villain persona and the assistant transfers no misalignment (HIGH confidence)", experiment "#351 follow-up: broader-vocab position-0 sweep at T=1.0 + position-1 suffix isolation". Matching terms: source, line, rate, language, model. Source: arxiv cs.CL (NLP).
arXiv: 2606.05444

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