languages. Our hypothesis posits that their effec- tiveness may be compromised in low-resource lan- guages due to the weak representation of the la- bels and sentences for the target …
model merging, recent methods [10, 18, 63, 66] have em-ployed predefined strategies focused on reducing parame-ter interference in shared representations. While effective, these methods …
Schriften in vier Bänden. Dits et Écrits, hg. von Daniel Defert und François Ewald, Mitarbeit von Jacques Lagrange, Bd. 3: 1976-1979, Frankfurt a.M. 2003, Nr. 210, S. 468-474, hier S. 469 …
1 Hinführung Im Sommer 2024 war im Krankenhaus-Museum der Kulturambulanz am Klini-kum Bremen-Ost1 eine Ausstellung des Projektes Überwunden – Tattoos auf Nar-ben der …
Xu-Feng Jiao, Ming-Yang Zheng, Yi-Hang Chen, Bo Cao, Xina Wang, Yang Liu, Cheng-Ao Yang, Xiu-Ping Xie, Chao-Yang Lu, Zhi-Chuan Niu, Qiang Zhang, and Jian-Wei Pan
In particular, as large language models (LLMs) continue to evolve, it becomes increasingly important to develop methods that can effectively fuse the specialized knowledge of various …
2021), Low-Rank Adaptation (LoRA;Hu et al. 2022), prex-tuning (Li and Liang,2021), and prompt-tuning (Lester et al.,2021). Among these, LoRA has become one of the most popular ap- …