LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification
M. Schlee, T. Kivimaki, Melchizedek Mashiku, C. Weisser, B. Säfken, Preprint (2026).
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Schlee, Michael;
Kivimaki, Timo;
Mashiku, Melchizedek;
Weisser, Christoph
;
Säfken, Benjamin
;
Säfken, BenjaminErscheinungsjahr
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Preprint
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Schlee, Michael ; Kivimaki, Timo ; Mashiku, Melchizedek ; Weisser, Christoph ; Säfken, Benjamin: LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification. In: Preprint, Arxiv (2026)
Schlee M, Kivimaki T, Mashiku Melchizedek, Weisser C, Säfken B. LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification. Preprint. 2026. doi:10.48550/arXiv.2512.10793
Schlee, M., Kivimaki, T., Mashiku, Melchizedek, Weisser, C., & Säfken, B. (2026). LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification. Preprint. https://doi.org/10.48550/arXiv.2512.10793
@article{Schlee_Kivimaki_Mashiku_Weisser_Säfken_2026, title={LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification}, DOI={10.48550/arXiv.2512.10793}, journal={Preprint}, publisher={Arxiv}, author={Schlee, Michael and Kivimaki, Timo and Mashiku, Melchizedek and Weisser, Christoph and Säfken, Benjamin}, year={2026} }
Schlee, Michael, Timo Kivimaki, Melchizedek Mashiku, Christoph Weisser, and Benjamin Säfken. “LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification.” Preprint, 2026. https://doi.org/10.48550/arXiv.2512.10793.
M. Schlee, T. Kivimaki, Melchizedek Mashiku, C. Weisser, and B. Säfken, “LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification,” Preprint, 2026.
Schlee, Michael, et al. “LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification.” Preprint, Arxiv, 2026, doi:10.48550/arXiv.2512.10793.
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