23 citations · 59 across the 10 of their papers we have counts for
3 papers · 1 filter
Redteaming Leading Arabic LLMs with ASAS
Fidaa Abed, Haidar Khan, M Saiful Bari +2
As the adoption of large language models (LLMs) grows in Arabic-speaking regions, ensuring their safety and cultural alignment is increasingly critical. However, Arabic LLM safety…
MoE Routing Testbed: Studying Expert Specialization and Routing Behavior at Small Scale
Tobias Falke, Nicolas Anastassacos, Samson Tan +6
Sparse Mixture-of-Experts (MoE) architectures are increasingly popular for frontier large language models (LLM) but they introduce training challenges due to routing complexity. Fu…
Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
Sawsan Alqahtani, Mir Tafseer Nayeem, Md Tahmid Rahman Laskar +2
Tokenization underlies every large language model, yet it remains an under-theorized and inconsistently designed component. Common subword approaches such as Byte Pair Encoding (BP…