Author

Cheng Wang

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#artificial intelligence Preprint Sep 2026

Reconstructing Implicit Scientific Knowledge: Evaluating LLM Agents through End-to-End Reproduction of Astronomy

The integration of large language models (LLMs) into scientific workflows is accelerating, yet their ability to reconstruct the reasoning underlying published research remains unexplored. Papers specify explicit procedures while leaving many methodological dependencies-data selection, calibration corrections, priors, a...

Yue-Hui Wang, Xin-Yu Qi, Gui-Rong Xue et al. · 0 citations

#artificial intelligence Review Sep 2026

RSI-Master: Structuring Experiments to Guide Autonomous Model Improvement

Recursive self-improvement (RSI) seeks to enable AI systems to participate in improving their own capabilities. A concrete pathway is autonomous model development, where agents iteratively explore post-training strategies to improve a base model. This setting faces two challenges: agents may exploit open-ended experime...

Ya-Xin Du, Xi-Yuan Yang, Zhi-Fan Zhou et al. · 0 citations