12 citations · 20 across the 12 of their papers we have counts for
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cs.CL2023★ 2 cited
Cross-lingual QA: A Key to Unlocking In-context Cross-lingual Performance
Sunkyoung Kim, Dayeon Ki, Yireun Kim +1
Multilingual large language models (MLLMs) have demonstrated significant cross-lingual capabilities through in-context learning. Existing approaches typically construct monolingual…
cs.CL2023★ 12 cited
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang +3
In this paper, we present our finding that prepending a Task-Agnostic Prefix Prompt (TAPP) to the input improves the instruction-following ability of various Large Language Models…