9 citations · 14 across the 11 of their papers we have counts for
13 papers
AI in the Wild: A Large Scale Analysis of Authentic Interactions of College Students with Generative AI
Taelin Karidi, Ofra Amir, Ido Roll
Generative AI tools (GenAI) are increasingly used by students during coursework, yet empirical understanding of how students engage with these systems in authentic learning context…
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…
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…
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…
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…
Improving Cross-Lingual Transfer through Subtree-Aware Word Reordering
Ofir Arviv, Dmitry Nikolaev, Taelin Karidi +1
Despite the impressive growth of the abilities of multilingual language models, such as XLM-R and mT5, it has been shown that they still face difficulties when tackling typological…
MuLER: Detailed and Scalable Reference-based Evaluation
Taelin Karidi, Leshem Choshen, Gal Patel +1
We propose a novel methodology (namely, MuLER) that transforms any reference-based evaluation metric for text generation, such as machine translation (MT) into a fine-grained analy…
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…
On the Relation between Syntactic Divergence and Zero-Shot Performance
Ofir Arviv, Dmitry Nikolaev, Taelin Karidi +1
We explore the link between the extent to which syntactic relations are preserved in translation and the ease of correctly constructing a parse tree in a zero-shot setting. While p…
Putting Words in BERT's Mouth: Navigating Contextualized Vector Spaces with Pseudowords
Taelin Karidi, Yichu Zhou, Nathan Schneider +2
We present a method for exploring regions around individual points in a contextualized vector space (particularly, BERT space), as a way to investigate how these regions correspond…
Fine-Grained Analysis of Cross-Linguistic Syntactic Divergences
Dmitry Nikolaev, Ofir Arviv, Taelin Karidi +4
The patterns in which the syntax of different languages converges and diverges are often used to inform work on cross-lingual transfer. Nevertheless, little empirical work has been…
Topological Analysis of Syntactic Structures
Alexander Port, Taelin Karidi, Matilde Marcolli
We use the persistent homology method of topological data analysis and dimensional analysis techniques to study data of syntactic structures of world languages. We analyze relation…
Chebotarev density theorem in short intervals for extensions of
Lior Bary-Soroker, Ofir Gorodetsky, Taelin Karidi +1
An old open problem in number theory is whether Chebotarev density theorem holds in short intervals. More precisely, given a Galois extension of with Galois group…