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• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2985109

  Bunzeck, Bastian, and Zarrieß, Sina. “GPT-wee: How Small Can a Small Language Model Really Get?”. Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Ed. Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjabe, Adina Williams, Tal Linzen, and Ryan Cotterell. Stroudsburg, PA: Association for Computational Linguistics, 2023. 35-46.

  PUB | PDF | DOI | Download (ext.)
   
• [3]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980943

  Druskat, Stephan, Krause, Thomas, Lachenmaier, Clara, and Bunzeck, Bastian. “Hexatomic: An extensible, OS-independent platform fordeep multi-layer linguistic annotation of corpora”. Journal of Open Source Software 8.86 (2023): 4825.

  PUB | PDF | DOI
   
• [2]
  

  2023 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2980942

  Wojcik, Paula, Bunzeck, Bastian, and Zarrieß, Sina. “The Wikipedia Republic of Literary Characters”. Journal of Cultural Analytics 8.2 (2023).

  PUB | PDF | DOI
   
• [1]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982902

  Bunzeck, Bastian, and Zarrieß, Sina. “Entrenchment Matters: Investigating Positional and Constructional Sensitivity in Small and Large Language Models”. Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD). Ed. Ellen Breitholtz, Shalom Lappin, Sharid Loaiciga, Nikolai Ilinykh, and Simon Dobnik. Stroudsburg, PA: Association for Computational Linguistics, 2023. 25-37.

  PUB | PDF