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References (44)

[1]
Quantification and object perception in Multimodal Large Language Models deviate from human linguistic cognition
2025Raquel Montero, Natalia Moskvina et al.
[2]
Do LLMs exhibit the same commonsense capabilities across languages?
2025Iv'an Mart'inez-Murillo, Elena Lloret et al.
[3]
A foundation model to predict and capture human cognition
2025Marcel Binz, Elif Akata et al.
[4]
Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models
2025Zixiang Xu, Yanbo Wang et al.
[5]
One ruler to measure them all: Benchmarking multilingual long-context language models
2025Yekyung Kim, Jenna Russell et al.
[6]
Do Multilingual LLMs Think In English?
2025L. Schut, Yarin Gal et al.
[7]
A survey of multilingual large language models
2025Libo Qin, Qiguang Chen et al.
[8]
The Linguistic Connectivities Within Large Language Models
2025Dan Wang, Boxi Cao et al.
[9]
A Continuous Approach to Metaphorically Motivated Regular Polysemy in Language Models
2025Anna Temerko, Marcos García et al.
[10]
Large language models reflect the ideology of their creators
2024Maarten Buyl, Alexander Rogiers et al.
[11]
Characterizing English Preposing in PP constructions
2024Christopher Potts
[12]
Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks
2024Chenxi Wang, Zongfang Liu et al.
[13]
The Llama 3 Herd of Models
2024Abhimanyu Dubey, Abhinav Jauhri et al.
[14]
Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
2024Zihao Li, Yucheng Shi et al.
[15]
A survey on multilingual large language models: corpora, alignment, and bias
2024Yuemei Xu, Ling Hu et al.
[16]
Systematic analysis of ChatGPT, Google search and Llama 2 for clinical decision support tasks
2024S. Sandmann, Sarah Riepenhausen et al.
[17]
Quantifying Generalizations: Exploring the Divide Between Human and LLMs' Sensitivity to Quantification
2024Aurélie Herbelot, Eva Maria Vecchi. 2016 et al.
[18]
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
2023Leonie Weissweiler, Valentin Hofmann et al.
[19]
Do Multilingual Language Models Think Better in English?
2023Julen Etxaniz, Gorka Azkune et al.
[20]
Limits for learning with language models
2023Nicholas M. Asher, Swarnadeep Bhar et al.

Showing 20 of 44 references

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"Develop an analysis tool to evaluate the language comprehension performance of LLMs across diverse languages, especially non-English ones."

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