ArXiv TLDR

Sewon Min

2 papers · Latest:

Natural Language Processing

EMO: Pretraining Mixture of Experts for Emergent Modularity

EMO is a new Mixture-of-Experts model that achieves emergent modularity, allowing efficient selective expert use for memory-constrained LLM deployment.

2605.06663
Information Retrieval

RAG over Thinking Traces Can Improve Reasoning Tasks

This paper shows that using "thinking traces" as a retrieval corpus significantly enhances RAG performance on complex reasoning tasks like math and code.

2605.03344

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