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cs.CL2026
A Declarative-Procedural Perspective on Expert Routing in Bilingual Mixture-of-Experts Language Models
Amrit Gopinath, Raghul, Durairaj Thenmozhi
We investigate whether Mixture-of-Experts (MoE) language models develop linguistically structured expert routing during bilingual language acquisition. Inspired by the Declarative-…
cs.CL2026
Invisible Influences: Investigating Implicit Intersectional Biases through Persona Engineering in Large Language Models
Nandini Arimanda, Achyuth Mukund, Sakthi Balan Muthiah +1
Large Language Models (LLMs) excel at human-like language generation but often embed and amplify implicit, intersectional biases, especially under persona-driven contexts. Existing…