Author

Yu-Tang Ge

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#artificial intelligence Preprint Oct 2026

REMORY: Learning Residual Memory for Context Compaction

Long-horizon agents compact their history to continue within a finite context window, but a textual summary alone may not support every subsequent decision. We introduce REMORY, a neural memory network that supplements the summary with a bounded sequence of soft memory tokens. Given the history and summary, the network...

Han-Chen Xia, Bao-You Chen, Yu-Tang Ge et al. · 0 citations

#machine learning Mar 2026

SpecXMaster Technical Report

This work proposes SpecXMaster, an intelligent framework leveraging Agentic Reinforcement Learning (RL) for NMR molecular spectral interpretation that enables automated extraction of multiplicity information from both 1H and 13C spectra directly from raw FID (free induction decay) data.

Yu-Tang Ge, Ya-Ning Cui, Han-Zheng Li et al. · arXiv.org · 0 citations