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cs.CL2026
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
cs.CL2026
Beyond Bilingual Transfer: Multilingual Code-Switching in Instruction Tuning
Shunta Asano, Jeonghun Baek, Toshihiko Yamasaki
Recent studies have shown that code-switching data (CSD), in which multiple languages are mixed within the same context, can improve cross-lingual transfer and multilingual alignme…
cs.CL2026
Beyond Training for Cultural Awareness: The Role of Dataset Linguistic Structure in Large Language Models
Reem I. Masoud, Chen Feng, Shunta Asano +3
The global deployment of large language models (LLMs) has raised concerns about cultural misalignment, yet the linguistic properties of fine-tuning datasets used for cultural adapt…