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Author

Xikun Zhang

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#artificial intelligence Preprint Sep 2026

Can AI Make Money in Crypto? Measuring the Gap from Backtests to Real Markets

A unified benchmark that evaluates representative machine learning, reinforcement learning, LLM-based, and agent-based trading methods in cryptocurrency markets through three progressively more realistic stages through historical backtesting, prospective exchange-based paper trading, and real-money live trading is pres...

Xing-Tong Yu, Jia-Run Zhou, Guan-Lin Ding et al. · 0 citations
Book Open access Aug 2026

HiBrain: Hierarchical Prototype Learning on Multimodal Brain Graphs for Stage-Aware Biomarker Discovery

Experiments on multimodal AD and PD datasets demonstrate consistent improvements over state-of-the-art baselines in multi-stage classification tasks, highlighting the interpretability and scientific utility of the proposed framework for neurodegenerative disease analysis.

Jing Ren, Kefan Yang, Le Linh Dan Nguyen et al. · 1 citation
Book Open access Aug 2026

Investigating Reasoning in Large Language Models with Counterfactual Knowledge Graphs

This work delineates LLM reasoning boundaries and presents a new paradigm for fine-grained capability assessment, which suggests that genuine reasoning is demonstrated only when a model follows logical rules despite conflicting prior knowledge.

Fangfei Yan, Jianbo Yao, Michael K. Chen et al. · 1 citation

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