الباحثون

Baichuan Mo

المنشورات 2

نسخة أولية وصول مفتوح

Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries

Chonghe Jiang, Ao Qu, Siyuan Liu وآخرون · 2026

Open-ended scientific discovery often requires repeatedly proposing and evaluating candidate solutions. LLM-based systems can support this process by generating and refining executable solutions from verifier feedback. Methods such as TTT-Discover use test-time training (TTT) to update the solution-generating LLM from …

نسخة أولية وصول مفتوح

Retrieval-Augmented Large Language Model Decision-Making for Autonomous Driving Guided by Chinese Philosophical Wisdom

Xiaojun Bi, Xiaoyuan Ma, Yiwen Sun وآخرون · 2026

Autonomous driving decision systems must balance safety, efficiency, and social norms in complex traffic interactions. Philosophical and ethical considerations have received limited attention in existing autonomous driving decision-making approaches based on numerical optimization, sequence prediction, and large langua …

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