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cs.AI2026
Self-Routing: Parameter-Free Expert Routing from Hidden States
Jama Hussein Mohamud, Drew Wagner, Mirco Ravanelli
Mixture-of-Experts (MoE) layers increase model capacity by activating only a small subset of experts per token, and typically rely on a learned router to map hidden states to exper…
cs.AI2025
Leveraging LLMs as Meta-Judges: A Multi-Agent Framework for Evaluating LLM Judgments
Yuran Li, Jama Hussein Mohamud, Chongren Sun +2
Large language models (LLMs) are being widely applied across various fields, but as tasks become more complex, evaluating their responses is increasingly challenging. Compared to h…