C Tang, F Qu, Y Wu - arXiv preprint arXiv:2403.19283, 2024 - arxiv.org
In the era of large language models (LLMs), in-context learning (ICL) stands out as an effective prompting strategy that explores LLMs' potency across various tasks. However …
C Tang, Z Wang, Y Wu - arXiv preprint arXiv:2408.04872, 2024 - arxiv.org
In-context learning (ICL) greatly improves the performance of large language models (LLMs) on various down-stream tasks, where the improvement highly depends on the quality of …
C Tang, Z Wang, Y Wu - arXiv preprint arXiv:2403.19285, 2024 - arxiv.org
In-context learning (ICL) is the trending prompting strategy in the era of large language models (LLMs), where a few examples are demonstrated to evoke LLMs' power for a given …
P Liu, J Lusk, N Jonoska, M Vázquez - bioRxiv, 2023 - biorxiv.org
R-loops are a class of non-canonical nucleic acid structures that typically form during transcription when the nascent RNA hybridizes the DNA template strand, leaving the DNA …
J Milickaa, A Marklováa, M Láznickac, V Diatkac… - files.osf.io
Research into iconicity, systematicity, and sound-symbolism has revealed that the connection between linguistic form and meaning is not arbitrary. In the present study, native …