AI RESEARCH
Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning
arXiv CS.CL
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ArXi:2603.22497v1 Announce Type: new Where there is growing interest in in-context language learning (ICLL) for unseen languages with large language models, such languages usually suffer from the lack of NLP tools, data resources, and researcher expertise. This means that progress is difficult to assess, the field does not allow for cheap large-scale experimentation, and findings on ICLL are often limited to very few languages and tasks. In light of such limitations, we