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cs.CL2025
Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B
Aleksandra Bakalova, Yana Veitsman, Xinting Huang +1
In-Context Learning (ICL) is an intriguing ability of large language models (LLMs). Despite a substantial amount of work on its behavioral aspects and how it emerges in miniature s…
cs.CL2024
LUNA: A Framework for Language Understanding and Naturalness Assessment
Marat Saidov, Aleksandra Bakalova, Ekaterina Taktasheva +2
The evaluation of Natural Language Generation (NLG) models has gained increased attention, urging the development of metrics that evaluate various aspects of generated text. LUNA a…