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Jia-Yi Chen

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#artificial intelligence Preprint Sep 2026

The Price of Thought: Does Test-Time Reasoning Pay in LLM Trading?

While inference-time reasoning in large language models (LLMs) promises better decision making, its higher computational cost may not yield better economic outcomes. Yet reasoning controls are rarely evaluated as economic interventions, where changes in model outputs must translate into better portfolios after trading...

Jia-Yi Chen, Gui-Ling Wang · 0 citations
#artificial intelligence Review Sep 2026

Atria Dawn: The Dawn of Agentic Superintelligence

Atria Dawn Preview is introduced, a foundation agentic language model designed for scientific research and engineering workflows, with the goal of expanding the frontier of agent productivity in the real world.

Honglin Guo, Tao Gui, Kun Cai et al. · 0 citations

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