Author

Dingyi Zhuang

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#artificial intelligence Preprint Oct 2026

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

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...

Chong-He Jiang, Ao Qu, Si-Yuan Liu et al. · 0 citations

Preprint Aug 2026

EarthVerse: Benchmarking Scientific Agents Across Dynamic Earth Systems and Natural Hazards

This work evaluates 25 model and agent systems under a controlled tool-using protocol, then uses controlled studies to locate failures in evidence access, tool selection, memory, reasoning, interaction, and scientific execution.

Zhiqing Cui, Xinxiang Yin, Yihong Tang et al. · 0 citations