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20242026
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cs.CL2025

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge

Li Zhou, Taelin Karidi, Wanlong Liu +5

Recent studies have highlighted the presence of cultural biases in Large Language Models (LLMs), yet often lack a robust methodology to dissect these phenomena comprehensively. Our…

cs.CL2024

Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspective

Taelin Karidi, Eitan Grossman, Omri Abend

NLP research on aligning lexical representation spaces to one another has so far focused on aligning language spaces in their entirety. However, cognitive science has long focused…

cs.CL2024

Assessing the Role of Lexical Semantics in Cross-lingual Transfer through Controlled Manipulations

Roy Ilani, Taelin Karidi, Omri Abend

While cross-linguistic model transfer is effective in many settings, there is still limited understanding of the conditions under which it works. In this paper, we focus on assessi…

cs.CL2024

Jump to Conclusions: Short-Cutting Transformers With Linear Transformations

Alexander Yom Din, Taelin Karidi, Leshem Choshen +1

Transformer-based language models create hidden representations of their inputs at every layer, but only use final-layer representations for prediction. This obscures the internal…

cs.CL2024

A Nurse is Blue and Elephant is Rugby: Cross Domain Alignment in Large Language Models Reveal Human-like Patterns

Asaf Yehudai, Taelin Karidi, Gabriel Stanovsky +2

Cross-domain alignment refers to the task of mapping a concept from one domain to another. For example, ``If a \textit{doctor} were a \textit{color}, what color would it be?''. Thi…