4 Publikationen
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2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985109
GPT-wee: How Small Can a Small Language Model Really Get?PUB | PDF | DOI | Download (ext.)
Bunzeck B, Zarrieß S (2023)
In: Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Warstadt A, Mueller A, Choshen L, Wilcox E, Zhuang C, Ciro J, Mosquera R, Paranjabe B, Williams A, Linzen T, Cotterell R (Eds); Stroudsburg, PA: Association for Computational Linguistics: 35-46. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980943
Hexatomic: An extensible, OS-independent platform fordeep multi-layer linguistic annotation of corporaPUB | PDF | DOI
Druskat S, Krause T, Lachenmaier C, Bunzeck B (2023)
Journal of Open Source Software 8(86): 4825. -
2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980942
The Wikipedia Republic of Literary CharactersPUB | PDF | DOI
Wojcik P, Bunzeck B, Zarrieß S (2023)
Journal of Cultural Analytics 8(2). -
2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982902
Entrenchment Matters: Investigating Positional and Constructional Sensitivity in Small and Large Language ModelsPUB | PDF
Bunzeck B, Zarrieß S (2023)
In: Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD). Breitholtz E, Lappin S, Loaiciga S, Ilinykh N, Dobnik S (Eds); Stroudsburg, PA: Association for Computational Linguistics: 25-37.