Boundary-aware multi-label span classification with hard negatives and containment NMS, plus independent RoBERTa document classification, ranks 7th/11-12th on PsyCoMark conspiracy tasks.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CL 2years
2026 2representative citing papers
Activation steering with FLORES-derived language vectors produces modest, layer-sensitive and language-dependent gains on cultural awareness tasks, with some settings degrading performance and strong interaction with prompt design.
citing papers explorer
-
UCSC NLP at SemEval-2026 Task 10: Boundary-Aware Span Extraction and RoBERTa Classification for Conspiracy Detection
Boundary-aware multi-label span classification with hard negatives and containment NMS, plus independent RoBERTa document classification, ranks 7th/11-12th on PsyCoMark conspiracy tasks.
-
DFKI-MLT at SemEval-2026 TASK 7: Steering Multilingual Models Towards Cultural Knowledge
Activation steering with FLORES-derived language vectors produces modest, layer-sensitive and language-dependent gains on cultural awareness tasks, with some settings degrading performance and strong interaction with prompt design.