Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
Tug-of-war between idioms' figurative and literal interpretations in LLMs
Soyoung Oh, Xinting Huang, Mathis Pink +2
Idioms present a unique challenge for language models due to their non-compositional figurative interpretations, which often strongly diverge from the idiom's literal interpretatio…
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.CL2023
Longer Fixations, More Computation: Gaze-Guided Recurrent Neural Networks
Xinting Huang, Jiajing Wan, Ioannis Kritikos +1
Humans read texts at a varying pace, while machine learning models treat each token in the same way in terms of a computational process. Therefore, we ask, does it help to make mod…