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Hong Cheng

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Preprint Aug 2026

TradingMoE: Routing the Right Experts in Evolving Markets

Large language models (LLMs) have shown strong potential for financial analysis and trading, but direct trading remains challenging because the predictive capabilities required can vary across assets, decision fields, and market conditions. Existing LLM-based trading systems either coordinate human-defined external exp...

Chang Zhou, Xingtong Yu, Minbin Huang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

From Parameters to Answers: How LLMs Retrieve and Use Their Internal Knowledge

This work compares country-continent questions with noun, adjective, and code answers while keeping several fitted measurements distinct across Qwen, Llama, and Gemma to separate early readability, natural strength, causal steering, and later content dependence.

Wen-Lin Wei, Yuan Fang, Ren-He Jiang et al. · 0 citations

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