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Eric S. Qiu

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#artificial intelligence Preprint Sep 2026

MoRE: Mixture of Reused Experts

Experiments show that MoRE consistently achieves lower perplexity and stronger downstream performance than standard MoEs and state-of-the-art weight-sharing architectures at matched compute and parameter budgets, with only minimal modifications to existing MoE implementations.

Eric S. Qiu, U. U. Acikalin, Justin Lovelace et al. · 1 citation
#artificial intelligence Review Aug 2026

Adversarial Review: Structured Disagreement for Grounded Agentic Code Review

Early multi-agent LLM systems often used role-separated teams, yet scaling agent count yields diminishing returns on repository-level coding tasks. Recent alternatives treat agents as passive tools (subagents), yet this removes the benefits of agent interaction entirely. We study whether a subagent paradigm can support...

Eric S. Qiu, J. Gill · 0 citations

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